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c5871e1ba6 |
@@ -3,4 +3,6 @@
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https://www.kaggle.com/datasets/surajjha101/stores-area-and-sales-data
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https://www.kaggle.com/datasets/muhammedtausif/world-population-by-countries
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https://www.kaggle.com/datasets/surajjha101/stores-area-and-sales-data
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https://www.kaggle.com/datasets/surajjha101/forbes-billionaires-data-preprocessed
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https://www.kaggle.com/datasets/surajjha101/forbes-billionaires-data-preprocessed
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Датасет для 4 лабы: https://www.kaggle.com/datasets/henryshan/2023-data-scientists-salary?resource=download
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2420
lab_10/laba10.ipynb
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2420
lab_10/laba10.ipynb
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File diff suppressed because one or more lines are too long
@@ -594,26 +594,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": 270,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"ename": "AssertionError",
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"evalue": "",
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"ename": "NameError",
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"evalue": "name 'y_train' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mAssertionError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[270], line 18\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mВыборка \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m сбалансирована, аугментация не требуется.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 18\u001b[0m \u001b[43mcheck_augmentation_need\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mобучающей\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 19\u001b[0m check_augmentation_need(y_val, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mвалидационной\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 20\u001b[0m check_augmentation_need(y_test, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mтестовой\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
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"Cell \u001b[1;32mIn[270], line 3\u001b[0m, in \u001b[0;36mcheck_augmentation_need\u001b[1;34m(data, name)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcheck_augmentation_need\u001b[39m(data, name):\n\u001b[0;32m 2\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Проверка необходимости аугментации данных\"\"\"\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m quantiles \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquantile\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.25\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0.75\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 4\u001b[0m mean \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mmean()\n\u001b[0;32m 5\u001b[0m std \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mstd()\n",
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"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\series.py:2887\u001b[0m, in \u001b[0;36mSeries.quantile\u001b[1;34m(self, q, interpolation)\u001b[0m\n\u001b[0;32m 2883\u001b[0m \u001b[38;5;66;03m# We dispatch to DataFrame so that core.internals only has to worry\u001b[39;00m\n\u001b[0;32m 2884\u001b[0m \u001b[38;5;66;03m# about 2D cases.\u001b[39;00m\n\u001b[0;32m 2885\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mto_frame()\n\u001b[1;32m-> 2887\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquantile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mq\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minterpolation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minterpolation\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 2888\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m result\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[0;32m 2889\u001b[0m result \u001b[38;5;241m=\u001b[39m result\u001b[38;5;241m.\u001b[39miloc[:, \u001b[38;5;241m0\u001b[39m]\n",
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"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\frame.py:12191\u001b[0m, in \u001b[0;36mDataFrame.quantile\u001b[1;34m(self, q, axis, numeric_only, interpolation, method)\u001b[0m\n\u001b[0;32m 12187\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 12188\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid method: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmethod\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. Method must be in \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvalid_method\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 12189\u001b[0m )\n\u001b[0;32m 12190\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msingle\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m> 12191\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquantile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mq\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minterpolation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minterpolation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 12192\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtable\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m 12193\u001b[0m valid_interpolation \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnearest\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlower\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhigher\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n",
|
||||
"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\internals\\managers.py:1549\u001b[0m, in \u001b[0;36mBlockManager.quantile\u001b[1;34m(self, qs, interpolation)\u001b[0m\n\u001b[0;32m 1545\u001b[0m new_axes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes)\n\u001b[0;32m 1546\u001b[0m new_axes[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m Index(qs, dtype\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mfloat64)\n\u001b[0;32m 1548\u001b[0m blocks \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m-> 1549\u001b[0m \u001b[43mblk\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mquantile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mqs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minterpolation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minterpolation\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m blk \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mblocks\n\u001b[0;32m 1550\u001b[0m ]\n\u001b[0;32m 1552\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)(blocks, new_axes)\n",
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"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\internals\\blocks.py:1891\u001b[0m, in \u001b[0;36mBlock.quantile\u001b[1;34m(self, qs, interpolation)\u001b[0m\n\u001b[0;32m 1888\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 1889\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m is_list_like(qs) \u001b[38;5;66;03m# caller is responsible for this\u001b[39;00m\n\u001b[1;32m-> 1891\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mquantile_compat\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_values\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minterpolation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1892\u001b[0m \u001b[38;5;66;03m# ensure_block_shape needed for cases where we start with EA and result\u001b[39;00m\n\u001b[0;32m 1893\u001b[0m \u001b[38;5;66;03m# is ndarray, e.g. IntegerArray, SparseArray\u001b[39;00m\n\u001b[0;32m 1894\u001b[0m result \u001b[38;5;241m=\u001b[39m ensure_block_shape(result, ndim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m)\n",
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"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\array_algos\\quantile.py:41\u001b[0m, in \u001b[0;36mquantile_compat\u001b[1;34m(values, qs, interpolation)\u001b[0m\n\u001b[0;32m 39\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m quantile_with_mask(values, mask, fill_value, qs, interpolation)\n\u001b[0;32m 40\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m---> 41\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalues\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_quantile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minterpolation\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\arrays\\_mixins.py:519\u001b[0m, in \u001b[0;36mNDArrayBackedExtensionArray._quantile\u001b[1;34m(self, qs, interpolation)\u001b[0m\n\u001b[0;32m 515\u001b[0m fill_value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_internal_fill_value\n\u001b[0;32m 517\u001b[0m res_values \u001b[38;5;241m=\u001b[39m quantile_with_mask(arr, mask, fill_value, qs, interpolation)\n\u001b[1;32m--> 519\u001b[0m res_values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cast_quantile_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43mres_values\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 520\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_from_backing_data(res_values)\n",
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"File \u001b[1;32mc:\\Users\\salih\\OneDrive\\Рабочий стол\\3 курас\\МИИ\\laba1\\AIM-PIbd-31-Yaruskin-S-A\\aimenv\\Lib\\site-packages\\pandas\\core\\arrays\\categorical.py:2480\u001b[0m, in \u001b[0;36mCategorical._cast_quantile_result\u001b[1;34m(self, res_values)\u001b[0m\n\u001b[0;32m 2478\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_cast_quantile_result\u001b[39m(\u001b[38;5;28mself\u001b[39m, res_values: np\u001b[38;5;241m.\u001b[39mndarray) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[0;32m 2479\u001b[0m \u001b[38;5;66;03m# make sure we have correct itemsize for resulting codes\u001b[39;00m\n\u001b[1;32m-> 2480\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m res_values\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ndarray\u001b[38;5;241m.\u001b[39mdtype\n\u001b[0;32m 2481\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res_values\n",
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"\u001b[1;31mAssertionError\u001b[0m: "
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"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[1], line 18\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mВыборка \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m сбалансирована, аугментация не требуется.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 18\u001b[0m check_augmentation_need(\u001b[43my_train\u001b[49m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mобучающей\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 19\u001b[0m check_augmentation_need(y_val, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mвалидационной\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 20\u001b[0m check_augmentation_need(y_test, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mтестовой\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
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"\u001b[1;31mNameError\u001b[0m: name 'y_train' is not defined"
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]
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}
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],
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1291
lab_3/laba3.ipynb
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lab_3/laba3.ipynb
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File diff suppressed because one or more lines are too long
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lab_4/laba4.ipynb
Normal file
1314
lab_4/laba4.ipynb
Normal file
File diff suppressed because one or more lines are too long
648
lab_5/laba5.ipynb
Normal file
648
lab_5/laba5.ipynb
Normal file
File diff suppressed because one or more lines are too long
1352
lab_6/laba6.ipynb
Normal file
1352
lab_6/laba6.ipynb
Normal file
File diff suppressed because one or more lines are too long
752
lab_6/test_data.csv
Normal file
752
lab_6/test_data.csv
Normal file
@@ -0,0 +1,752 @@
|
||||
work_year,experience_level,employment_type,job_title,salary,salary_currency,salary_in_usd,employee_residence,remote_ratio,company_location,company_size,experience_level_encoded,employee_residence_encoded
|
||||
2022,SE,FT,Machine Learning Software Engineer,168000,USD,168000,CA,100,CA,M,3,6
|
||||
2023,SE,FT,Data Analyst,179975,USD,179975,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,144000,USD,144000,US,100,US,M,3,11
|
||||
2023,SE,FT,Applied Scientist,222200,USD,222200,US,0,US,L,3,11
|
||||
2021,EX,FT,Head of Data,230000,USD,230000,RU,50,RU,L,1,39
|
||||
2022,EN,FT,Applied Data Scientist,40000,USD,40000,AU,100,PK,M,0,5
|
||||
2023,SE,FT,Data Scientist,105000,USD,105000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Analyst,100000,USD,100000,US,50,US,M,0,11
|
||||
2021,EN,FT,Data Scientist,2200000,INR,29751,IN,50,IN,L,0,47
|
||||
2023,SE,FT,Machine Learning Engineer,153090,USD,153090,US,0,US,M,3,11
|
||||
2022,MI,FT,ETL Developer,50000,EUR,52533,GR,0,GR,M,2,24
|
||||
2022,SE,FT,Data Engineer,115000,USD,115000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,128000,USD,128000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,2400000,INR,30523,IN,100,IN,L,2,47
|
||||
2023,SE,FT,Data Analyst,128500,USD,128500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Architect,92000,USD,92000,GB,100,GB,M,3,8
|
||||
2022,EN,FT,Data Engineer,160000,USD,160000,US,0,US,M,0,11
|
||||
2022,SE,FT,Data Scientist,168000,USD,168000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,210000,USD,210000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,153400,USD,153400,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,140000,USD,140000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Analyst,99050,USD,99050,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,259000,USD,259000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,200000,USD,200000,PR,100,PR,M,3,33
|
||||
2023,SE,FT,Data Scientist,134236,USD,134236,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,170000,USD,170000,US,100,US,M,2,11
|
||||
2023,SE,FT,Computer Vision Engineer,200000,USD,200000,US,100,US,S,3,11
|
||||
2023,SE,FT,Data Analyst,120250,USD,120250,US,100,US,M,3,11
|
||||
2021,SE,FT,Data Science Manager,4000000,INR,54094,IN,50,US,L,3,47
|
||||
2022,MI,FT,Data Scientist,145000,USD,145000,US,0,US,M,2,11
|
||||
2023,SE,FT,Analytics Engineer,143860,USD,143860,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,138000,USD,138000,US,100,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Scientist,216000,USD,216000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,61300,USD,61300,CA,100,CA,M,3,6
|
||||
2020,MI,FT,Data Scientist,37000,EUR,42197,FR,50,FR,S,2,10
|
||||
2022,MI,FT,Data Analytics Manager,140000,USD,140000,US,0,US,M,2,11
|
||||
2021,EN,FT,Power BI Developer,400000,INR,5409,IN,50,IN,L,0,47
|
||||
2020,EN,FT,Data Analyst,10000,USD,10000,NG,100,NG,S,0,36
|
||||
2023,SE,FT,Data Analyst,180180,USD,180180,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,188100,USD,188100,US,0,US,M,3,11
|
||||
2022,EX,FT,Analytics Engineer,150000,USD,150000,US,100,US,M,1,11
|
||||
2021,EN,FT,Research Scientist,100000,USD,100000,JE,0,CN,L,0,48
|
||||
2023,MI,FT,Applied Machine Learning Engineer,130000,USD,130000,US,0,US,M,2,11
|
||||
2022,SE,FT,Big Data Engineer,210000,CAD,161311,CA,50,CA,M,3,6
|
||||
2023,SE,FT,Data Engineer,205600,USD,205600,US,0,US,L,3,11
|
||||
2023,SE,FT,Data Analyst,140000,USD,140000,US,0,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Developer,100000,CAD,76814,CA,100,CA,M,3,6
|
||||
2022,SE,FT,Data Engineer,102100,USD,102100,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,83500,USD,83500,US,100,US,M,2,11
|
||||
2022,SE,FT,Machine Learning Engineer,65000,EUR,68293,IE,100,IE,S,3,9
|
||||
2020,MI,FT,Product Data Analyst,450000,INR,6072,IN,100,IN,L,2,47
|
||||
2022,EN,FT,AI Scientist,50000,USD,50000,US,100,US,M,0,11
|
||||
2023,SE,FT,Data Scientist,370000,USD,370000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,99450,USD,99450,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,257000,USD,257000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,160000,USD,160000,US,0,US,L,3,11
|
||||
2022,MI,FT,Data Analyst,109000,USD,109000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,155000,USD,155000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,230000,USD,230000,US,100,US,M,3,11
|
||||
2023,EX,FT,Head of Data Science,131899,GBP,160288,GB,0,GB,M,1,8
|
||||
2023,SE,FT,Data Engineer,90700,USD,90700,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,150000,USD,150000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Analyst,38000,EUR,40777,ES,0,ES,M,3,12
|
||||
2023,SE,FT,Data Scientist,165000,USD,165000,US,0,US,M,3,11
|
||||
2021,MI,FT,Data Architect,180000,USD,180000,US,100,US,L,2,11
|
||||
2021,SE,FT,Data Scientist,4000000,INR,54094,IN,100,IN,L,3,47
|
||||
2023,MI,FT,Data Engineer,175000,USD,175000,US,0,US,M,2,11
|
||||
2023,MI,FT,MLOps Engineer,134000,USD,134000,US,100,US,M,2,11
|
||||
2023,MI,FT,Data Scientist,180000,USD,180000,US,100,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,140000,USD,140000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,205300,USD,205300,US,0,US,L,3,11
|
||||
2023,MI,FT,Data Analyst,75000,USD,75000,US,0,US,M,2,11
|
||||
2023,EN,FT,Applied Scientist,130760,USD,130760,US,0,US,L,0,11
|
||||
2022,MI,FT,Data Engineer,105000,USD,105000,US,0,US,M,2,11
|
||||
2022,MI,FT,ML Engineer,98200,USD,98200,US,100,US,L,2,11
|
||||
2023,MI,FT,Machine Learning Engineer,280700,USD,280700,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,195000,USD,195000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Science Consultant,128000,USD,128000,US,0,US,M,3,11
|
||||
2023,MI,FT,Research Engineer,230000,USD,230000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Operations Analyst,92250,USD,92250,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,55000,GBP,67723,GB,100,GB,M,2,8
|
||||
2022,SE,FT,Data Scientist,140000,USD,140000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,230000,USD,230000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,120000,USD,120000,US,100,US,M,3,11
|
||||
2022,MI,FT,Data Scientist Lead,85000,EUR,89306,AT,50,AT,L,2,13
|
||||
2021,SE,FT,Data Scientist,65720,EUR,77684,FR,50,FR,M,3,10
|
||||
2022,SE,FT,Analytics Engineer,130000,USD,130000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,220000,USD,220000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,115000,CHF,120402,CH,0,CH,L,2,4
|
||||
2021,MI,FT,Data Science Lead,150000,USD,150000,US,100,US,M,2,11
|
||||
2023,MI,FT,Machine Learning Engineer,100000,GBP,121523,GB,0,GB,M,2,8
|
||||
2021,SE,FT,Data Engineer,153000,USD,153000,US,100,US,L,3,11
|
||||
2022,SE,FT,Data Scientist,130000,USD,130000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,65000,USD,65000,US,100,US,M,2,11
|
||||
2022,SE,FT,Analytics Engineer,170000,USD,170000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,115000,USD,115000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,170000,USD,170000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,92700,USD,92700,US,100,US,M,0,11
|
||||
2023,SE,FT,Machine Learning Engineer,304000,USD,304000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,170000,USD,170000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,145000,USD,145000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,185800,USD,185800,CA,100,CA,M,3,6
|
||||
2023,SE,FT,Data Scientist,110000,USD,110000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,247500,USD,247500,US,0,US,M,3,11
|
||||
2022,EN,PT,BI Analyst,12000,USD,12000,MX,100,US,L,0,32
|
||||
2023,MI,FT,Data Science Manager,104500,USD,104500,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,80000,GBP,98506,GB,0,GB,M,3,8
|
||||
2022,SE,FT,Data Architect,195400,USD,195400,US,100,US,L,3,11
|
||||
2023,EN,FT,Data Engineer,90000,USD,90000,US,0,US,M,0,11
|
||||
2022,SE,FT,Data Scientist,123400,USD,123400,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analytics Engineer,135000,USD,135000,US,100,US,L,2,11
|
||||
2023,SE,FT,Data Analyst,165000,USD,165000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,148500,USD,148500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,252000,USD,252000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,106020,USD,106020,US,0,US,M,3,11
|
||||
2020,EN,FT,Data Scientist,105000,USD,105000,US,100,US,S,0,11
|
||||
2022,MI,FT,Data Engineer,65000,USD,65000,US,0,US,M,2,11
|
||||
2022,MI,FT,Data Scientist,52000,EUR,54634,NL,100,NL,S,2,3
|
||||
2022,SE,FT,Data Engineer,200000,USD,200000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,136000,USD,136000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,90000,GBP,109371,HR,0,HR,M,2,20
|
||||
2022,SE,FT,Data Engineer,205000,USD,205000,US,100,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,100000,USD,100000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Analyst,95000,USD,95000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,80000,USD,80000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,247300,USD,247300,US,0,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Engineer,200000,USD,200000,US,100,US,L,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,220000,USD,220000,US,0,US,M,3,11
|
||||
2023,MI,FT,Machine Learning Engineer,38000,GBP,46178,GB,100,GB,M,2,8
|
||||
2023,SE,FT,Machine Learning Engineer,247500,USD,247500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,183500,USD,183500,US,100,US,M,3,11
|
||||
2023,EX,FT,Head of Data,269600,USD,269600,US,0,US,M,1,11
|
||||
2020,MI,FT,Data Scientist,55000,EUR,62726,FR,50,LU,S,2,10
|
||||
2021,SE,FT,Machine Learning Infrastructure Engineer,195000,USD,195000,US,100,US,M,3,11
|
||||
2023,MI,FT,Research Scientist,185000,USD,185000,US,100,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,198440,USD,198440,US,100,US,M,3,11
|
||||
2021,MI,FT,Data Engineer,24000,EUR,28369,MT,50,MT,L,2,48
|
||||
2022,SE,FT,Data Engineer,63000,USD,63000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,130000,USD,130000,US,0,US,M,3,11
|
||||
2023,SE,FT,Analytics Engineer,173000,USD,173000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,208450,USD,208450,US,100,US,M,3,11
|
||||
2022,EX,FT,Data Engineer,116100,USD,116100,US,100,US,M,1,11
|
||||
2023,SE,FT,Applied Scientist,230000,USD,230000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,205300,USD,205300,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,169000,USD,169000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,185900,USD,185900,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,260000,USD,260000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,218500,USD,218500,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,99000,USD,99000,US,0,US,M,3,11
|
||||
2023,SE,FT,Business Intelligence Engineer,156400,USD,156400,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,150000,USD,150000,US,0,US,M,2,11
|
||||
2021,SE,FT,Data Specialist,165000,USD,165000,US,100,US,L,3,11
|
||||
2020,MI,FT,Data Scientist,60000,GBP,76958,GB,100,GB,S,2,8
|
||||
2023,SE,FT,Data Analyst,102500,USD,102500,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,115000,USD,115000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,200000,USD,200000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,120000,USD,120000,US,0,US,M,3,11
|
||||
2022,MI,FT,Machine Learning Scientist,112300,USD,112300,US,100,US,L,2,11
|
||||
2023,SE,FT,Data Engineer,138750,USD,138750,US,100,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,153400,USD,153400,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,136000,USD,136000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,66000,USD,66000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,60000,GBP,72914,HR,0,HR,M,2,20
|
||||
2022,MI,FT,Data Analyst,450000,INR,5723,IN,100,IN,S,2,47
|
||||
2023,EN,FT,Data Analyst,55000,USD,55000,US,0,US,M,0,11
|
||||
2022,EX,FT,Data Engineer,260000,USD,260000,US,100,US,M,1,11
|
||||
2023,SE,FT,Data Scientist,239748,USD,239748,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,220000,USD,220000,US,100,US,M,3,11
|
||||
2022,EN,FT,Computer Vision Software Engineer,150000,USD,150000,AU,100,AU,S,0,5
|
||||
2022,SE,FT,Data Science Manager,299500,USD,299500,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,116250,USD,116250,US,100,US,M,3,11
|
||||
2023,MI,FT,Machine Learning Engineer,135000,USD,135000,US,50,US,L,2,11
|
||||
2023,MI,FT,ETL Engineer,70000,GBP,85066,GB,100,GB,M,2,8
|
||||
2023,SE,FT,Data Engineer,137500,USD,137500,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,130000,USD,130000,CA,100,CA,M,3,6
|
||||
2022,MI,FT,Data Analyst,150000,USD,150000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,258000,USD,258000,CA,0,CA,M,3,6
|
||||
2021,MI,FL,Autonomous Vehicle Technician,45555,USD,45555,AS,50,BS,M,2,48
|
||||
2023,SE,FT,Machine Learning Engineer,163800,USD,163800,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,185900,USD,185900,US,0,US,M,3,11
|
||||
2022,MI,FT,Analytics Engineer,122500,USD,122500,US,100,US,M,2,11
|
||||
2022,EN,FT,BI Data Analyst,633000,INR,8050,IN,100,IN,M,0,47
|
||||
2023,SE,FT,Data Manager,120000,USD,120000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,65000,EUR,68293,ES,0,ES,M,3,12
|
||||
2023,SE,FT,Computer Vision Engineer,342810,USD,342810,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,150000,USD,150000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Science Manager,245100,USD,245100,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,190000,USD,190000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,140000,USD,140000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,106000,USD,106000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,142200,USD,142200,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,118000,USD,118000,US,100,US,M,2,11
|
||||
2023,SE,FT,Research Engineer,102544,USD,102544,US,0,US,M,3,11
|
||||
2023,EX,FT,Director of Data Science,353200,USD,353200,US,0,US,M,1,11
|
||||
2022,SE,FT,Data Engineer,185900,USD,185900,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,94000,USD,94000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Architect,192564,USD,192564,US,100,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Engineer,167100,USD,167100,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,160000,USD,160000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Engineer,84958,GBP,104611,GB,100,GB,M,3,8
|
||||
2022,SE,FT,Data Scientist,225000,USD,225000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,207000,USD,207000,US,100,US,M,3,11
|
||||
2022,EN,FT,Financial Data Analyst,100000,USD,100000,US,50,US,L,0,11
|
||||
2023,SE,FT,Data Infrastructure Engineer,143000,USD,143000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,126000,USD,126000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,176100,USD,176100,US,0,US,L,3,11
|
||||
2023,SE,FT,Data Scientist,155000,USD,155000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,115000,USD,115000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Scientist,115360,USD,115360,US,100,US,M,2,11
|
||||
2023,SE,FT,Machine Learning Scientist,220000,USD,220000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,175000,USD,175000,US,100,US,M,2,11
|
||||
2021,EN,FT,Data Analyst,60000,USD,60000,US,100,US,S,0,11
|
||||
2022,MI,FT,Data Scientist,120000,USD,120000,US,100,US,M,2,11
|
||||
2023,MI,FT,Data Analyst,121500,USD,121500,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Analyst,95000,USD,95000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,140000,USD,140000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,147000,USD,147000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,241871,USD,241871,US,0,US,M,3,11
|
||||
2020,EN,FT,Data Engineer,4450000,JPY,41689,JP,100,JP,S,0,41
|
||||
2022,SE,FT,Data Scientist,186000,USD,186000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,129000,USD,129000,US,0,US,M,3,11
|
||||
2022,MI,FT,Analytics Engineer,60000,GBP,73880,GB,0,GB,M,2,8
|
||||
2022,SE,FT,Machine Learning Engineer,210000,USD,210000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,152000,USD,152000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Analyst,55000,CAD,40663,CA,0,CA,L,0,6
|
||||
2022,EN,FT,Data Scientist,49500,EUR,52008,BE,50,BE,S,0,15
|
||||
2022,SE,FT,Data Scientist,100000,USD,100000,BR,100,US,M,3,28
|
||||
2022,MI,FT,Data Analyst,100000,USD,100000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Analyst,385000,USD,385000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Science Engineer,100000,USD,100000,US,0,US,M,3,11
|
||||
2023,SE,FT,Analytics Engineer,120000,USD,120000,US,100,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,100000,USD,100000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,79000,USD,79000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,163800,USD,163800,US,0,US,M,3,11
|
||||
2022,EX,FT,Data Manager,164000,CAD,125976,CA,50,CA,L,1,6
|
||||
2023,SE,FT,Data Engineer,133300,USD,133300,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,70000,USD,70000,US,0,US,M,3,11
|
||||
2021,EN,FT,Machine Learning Engineer,85000,USD,85000,NL,100,DE,S,0,3
|
||||
2023,SE,FT,Data Engineer,160000,USD,160000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,131000,USD,131000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,129400,USD,129400,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,100000,USD,100000,US,100,US,M,3,11
|
||||
2022,SE,FT,Analytics Engineer,170000,USD,170000,US,100,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,150000,USD,150000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,156600,USD,156600,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,169000,USD,169000,US,0,US,M,3,11
|
||||
2023,SE,FT,Analytics Engineer,143860,USD,143860,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,169000,USD,169000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,144000,USD,144000,US,0,US,M,3,11
|
||||
2020,MI,FT,Data Engineer,106000,USD,106000,US,100,US,L,2,11
|
||||
2022,SE,FT,Data Engineer,170000,USD,170000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,100000,USD,100000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,65000,USD,65000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,113750,USD,113750,IE,0,IE,M,3,9
|
||||
2023,SE,FT,Data Scientist,183500,USD,183500,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,80000,USD,80000,US,0,US,L,3,11
|
||||
2022,SE,FT,Data Scientist,185000,USD,185000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,45000,EUR,48289,ES,0,ES,M,3,12
|
||||
2022,SE,FT,Data Scientist,168000,USD,168000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,185900,USD,185900,US,0,US,M,3,11
|
||||
2023,EX,FT,Data Scientist,100000,USD,100000,US,0,US,M,1,11
|
||||
2023,SE,FT,Analytics Engineer,207000,USD,207000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,180560,USD,180560,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,125000,USD,125000,US,0,US,M,3,11
|
||||
2022,SE,FT,ML Engineer,84000,USD,84000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,75000,USD,75000,US,100,US,M,3,11
|
||||
2022,MI,FT,Analytics Engineer,85000,GBP,104663,GB,0,GB,M,2,8
|
||||
2022,SE,FT,Data Engineer,150000,USD,150000,US,100,US,M,3,11
|
||||
2021,EN,FT,3D Computer Vision Researcher,20000,USD,20000,AS,0,AS,M,0,48
|
||||
2023,SE,FT,Data Scientist,154000,USD,154000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,95000,USD,95000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,175000,USD,175000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,250000,USD,250000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,165000,USD,165000,US,100,US,M,3,11
|
||||
2020,EX,FT,Data Engineer,70000,EUR,79833,ES,50,ES,L,1,12
|
||||
2023,SE,FT,Machine Learning Engineer,323300,USD,323300,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,135000,USD,135000,PR,100,PR,M,3,33
|
||||
2023,SE,FT,Data Analyst,187000,USD,187000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,160000,USD,160000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,122600,USD,122600,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,48000,EUR,51508,ES,0,ES,M,3,12
|
||||
2023,SE,FT,Data Engineer,221484,USD,221484,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Science Manager,137141,USD,137141,US,100,US,M,3,11
|
||||
2020,EX,FT,Staff Data Analyst,15000,USD,15000,NG,0,CA,M,1,36
|
||||
2023,SE,FT,Machine Learning Engineer,135000,USD,135000,US,0,US,M,3,11
|
||||
2023,SE,FT,Deep Learning Researcher,115000,EUR,123405,DE,0,DE,L,3,7
|
||||
2023,SE,FT,Machine Learning Engineer,200000,USD,200000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Architect,115000,USD,115000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,138784,USD,138784,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,141525,USD,141525,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,127000,USD,127000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,240500,USD,240500,US,0,US,L,3,11
|
||||
2022,MI,FT,Data Scientist,47000,GBP,57872,GB,50,GB,M,2,8
|
||||
2022,SE,FT,Data Analyst,50000,GBP,61566,GB,0,GB,M,3,8
|
||||
2022,SE,FT,Product Data Scientist,8000,USD,8000,IN,100,SG,L,3,47
|
||||
2023,SE,FT,Machine Learning Engineer,128280,USD,128280,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,185900,USD,185900,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,160000,USD,160000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,138900,USD,138900,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,165220,USD,165220,US,100,US,M,3,11
|
||||
2022,MI,FT,Machine Learning Researcher,100000,USD,100000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,225000,USD,225000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,153000,USD,153000,CA,100,CA,M,3,6
|
||||
2023,SE,FT,Data Scientist,297300,USD,297300,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,200000,USD,200000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M,3,11
|
||||
2022,SE,FT,ETL Developer,63000,USD,63000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,90700,USD,90700,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,178500,USD,178500,US,100,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,65000,USD,65000,US,0,US,M,0,11
|
||||
2022,MI,FT,Data Scientist,55000,GBP,67723,GB,0,GB,M,2,8
|
||||
2023,SE,FT,Analytics Engineer,87000,USD,87000,US,0,US,M,3,11
|
||||
2023,MI,FT,Machine Learning Engineer,175000,USD,175000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Engineer,100000,USD,100000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Science Consultant,139000,USD,139000,US,0,US,M,3,11
|
||||
2023,SE,FT,Research Scientist,110000,USD,110000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,226700,USD,226700,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,150000,USD,150000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,128000,USD,128000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,25000,USD,25000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,107250,USD,107250,US,100,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Engineer,131300,USD,131300,US,100,US,L,3,11
|
||||
2023,EN,FT,Data Scientist,110000,USD,110000,US,50,US,S,0,11
|
||||
2023,SE,FT,ML Engineer,203500,USD,203500,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,150000,USD,150000,US,0,US,M,3,11
|
||||
2021,MI,FT,Data Scientist,76760,EUR,90734,DE,50,DE,L,2,7
|
||||
2022,SE,FT,Data Engineer,170000,USD,170000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,129000,USD,129000,US,0,US,M,3,11
|
||||
2022,SE,FT,Analytics Engineer,122500,USD,122500,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Architect,113900,USD,113900,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,70000,USD,70000,US,0,US,M,2,11
|
||||
2022,MI,FT,Data Scientist,78000,USD,78000,US,100,US,M,2,11
|
||||
2023,SE,FT,Machine Learning Engineer,204500,USD,204500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,45000,EUR,48289,ES,0,ES,M,3,12
|
||||
2023,EX,FT,Data Scientist,258750,USD,258750,US,0,US,M,1,11
|
||||
2023,SE,FT,Data Architect,280100,USD,280100,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Architect,167500,USD,167500,US,0,US,M,2,11
|
||||
2022,MI,FT,Data Engineer,70000,EUR,73546,GR,100,GR,M,2,24
|
||||
2022,SE,FT,Machine Learning Engineer,255000,USD,255000,MX,100,MX,M,3,32
|
||||
2022,SE,FT,Data Engineer,115000,USD,115000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,110000,EUR,115573,NL,0,NL,M,2,3
|
||||
2021,MI,FT,Data Engineer,60000,GBP,82528,GB,100,GB,L,2,8
|
||||
2022,MI,FT,Data Scientist,90000,GBP,110820,GB,0,GB,M,2,8
|
||||
2023,SE,FT,Data Analyst,106020,USD,106020,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,40000,EUR,42026,ES,100,ES,M,2,12
|
||||
2022,EN,FT,Data Analyst,500000,INR,6359,FR,100,IN,L,0,10
|
||||
2022,MI,FT,Data Scientist,2500000,INR,31795,IN,100,US,M,2,47
|
||||
2023,MI,FT,Data Engineer,120000,USD,120000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,127000,USD,127000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,45000,EUR,47280,ES,0,ES,M,3,12
|
||||
2023,SE,FT,Analytics Engineer,214200,USD,214200,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,210000,USD,210000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Science Manager,241000,USD,241000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,109000,USD,109000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,230000,USD,230000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,40000,EUR,42026,PT,0,PT,M,3,40
|
||||
2022,SE,FT,AI Scientist,125000,USD,125000,CO,100,CO,L,3,31
|
||||
2023,EX,FT,Data Engineer,194500,USD,194500,US,0,US,M,1,11
|
||||
2022,SE,FT,Data Analyst,110925,USD,110925,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,270703,USD,270703,US,0,US,M,3,11
|
||||
2022,MI,FT,Applied Machine Learning Scientist,173000,USD,173000,US,50,US,M,2,11
|
||||
2023,MI,FT,Machine Learning Engineer,150000,USD,150000,US,100,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,138600,USD,138600,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,175000,USD,175000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,45000,EUR,47280,ES,0,ES,M,3,12
|
||||
2023,MI,FT,Research Engineer,120000,USD,120000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Strategist,72000,USD,72000,CA,0,CA,M,3,6
|
||||
2023,SE,FT,Data Analyst,153600,USD,153600,US,0,US,M,3,11
|
||||
2023,EX,FT,Data Engineer,220000,USD,220000,US,0,US,M,1,11
|
||||
2023,SE,FT,Machine Learning Engineer,220000,USD,220000,US,0,US,M,3,11
|
||||
2023,SE,FT,Research Engineer,80000,EUR,85847,DE,100,DE,S,3,7
|
||||
2022,MI,FL,Applied Machine Learning Scientist,2400000,INR,30523,IN,100,IN,S,2,47
|
||||
2023,SE,FT,Data Scientist,110500,USD,110500,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Science Consultant,145000,USD,145000,US,0,US,M,3,11
|
||||
2023,MI,FT,Research Scientist,84570,GBP,102772,GB,0,GB,M,2,8
|
||||
2023,SE,FT,Machine Learning Engineer,109400,USD,109400,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,175308,USD,175308,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,170000,USD,170000,US,0,US,M,3,11
|
||||
2023,MI,FT,Applied Data Scientist,1700000,INR,20670,IN,100,IN,L,2,47
|
||||
2023,SE,FT,Data Engineer,129000,USD,129000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,198800,USD,198800,US,0,US,M,3,11
|
||||
2022,EN,FT,Data Analyst,46000,USD,46000,US,100,US,L,0,11
|
||||
2023,SE,FT,Data Scientist,228000,USD,228000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,95000,USD,95000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,141525,USD,141525,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,236900,USD,236900,US,100,US,L,3,11
|
||||
2022,MI,FT,Data Engineer,75000,GBP,92350,GB,100,GB,M,2,8
|
||||
2023,SE,FT,Data Engineer,129300,USD,129300,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,135000,USD,135000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,150000,USD,150000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,85500,USD,85500,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,206699,USD,206699,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,163800,USD,163800,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Architect,213120,USD,213120,US,100,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Software Engineer,170000,USD,170000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,63000,USD,63000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,125600,USD,125600,US,100,US,M,3,11
|
||||
2022,EN,PT,Data Scientist,110000,USD,110000,DO,100,FR,M,0,48
|
||||
2022,EN,FT,Data Scientist,80000,EUR,84053,BE,100,BE,L,0,15
|
||||
2023,EN,FT,Data Scientist,1060000,INR,12888,IN,50,IN,S,0,47
|
||||
2023,SE,FT,Data Analyst,48000,EUR,51508,ES,0,ES,M,3,12
|
||||
2022,EN,FT,Machine Learning Developer,40000,USD,40000,PK,100,AU,M,0,48
|
||||
2022,SE,FT,Analytics Engineer,193750,USD,193750,US,100,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,115100,USD,115100,US,0,US,M,0,11
|
||||
2023,SE,FT,Data Scientist,190000,USD,190000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,79000,USD,79000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Analyst,99000,USD,99000,US,0,US,M,3,11
|
||||
2021,EN,FT,Machine Learning Developer,15000,USD,15000,TH,100,TH,L,0,44
|
||||
2023,SE,FT,Data Engineer,135000,USD,135000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Strategist,90000,USD,90000,CA,0,CA,M,3,6
|
||||
2023,SE,FT,Machine Learning Engineer,180000,USD,180000,US,100,US,M,3,11
|
||||
2023,EX,FT,Data Engineer,116704,USD,116704,US,100,US,M,1,11
|
||||
2022,SE,FT,Data Scientist,190000,USD,190000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,105000,USD,105000,US,100,US,M,3,11
|
||||
2022,EN,FT,Data Engineer,129000,USD,129000,US,100,US,L,0,11
|
||||
2022,MI,FT,Business Data Analyst,150000,USD,150000,US,100,US,L,2,11
|
||||
2022,SE,FT,Data Engineer,250000,USD,250000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Science Manager,243225,USD,243225,US,100,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,75000,USD,75000,US,100,US,M,2,11
|
||||
2022,SE,FT,Lead Data Scientist,28500,EUR,29944,PT,50,PT,S,3,40
|
||||
2022,SE,FT,Data Scientist,120000,USD,120000,US,100,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,181000,USD,181000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,35000,EUR,36773,ES,0,ES,M,3,12
|
||||
2022,SE,FT,Data Scientist,152000,USD,152000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,129300,USD,129300,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,100000,USD,100000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,120000,USD,120000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,70500,USD,70500,US,0,US,M,3,11
|
||||
2021,SE,FT,Data Scientist,130000,CAD,103691,CA,100,CA,L,3,6
|
||||
2023,SE,FT,Data Engineer,145000,USD,145000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,153600,USD,153600,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,136000,USD,136000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,160000,USD,160000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,145000,USD,145000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,127500,USD,127500,US,100,US,M,2,11
|
||||
2023,MI,FT,Data Scientist,510000,HKD,65062,HK,0,HK,L,2,48
|
||||
2023,SE,FT,Machine Learning Engineer,139500,USD,139500,US,0,US,M,3,11
|
||||
2023,SE,FT,Applied Scientist,136000,USD,136000,US,0,US,L,3,11
|
||||
2020,EN,FT,Data Scientist,43200,EUR,49268,DE,0,DE,S,0,7
|
||||
2022,SE,FT,Machine Learning Engineer,204500,USD,204500,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,129300,USD,129300,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,215000,USD,215000,US,100,US,M,3,11
|
||||
2022,EN,FT,AI Programmer,40000,USD,40000,PK,100,AU,M,0,48
|
||||
2023,SE,FT,Data Scientist,134000,USD,134000,US,0,US,M,3,11
|
||||
2022,SE,FT,BI Developer,120000,USD,120000,US,100,US,M,3,11
|
||||
2023,EX,FT,Data Engineer,235000,USD,235000,US,0,US,M,1,11
|
||||
2023,SE,FT,Data Analyst,110000,USD,110000,US,100,US,S,3,11
|
||||
2023,MI,FT,Research Scientist,185000,USD,185000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Analyst,90320,USD,90320,US,0,US,M,3,11
|
||||
2022,EN,FT,Data Scientist,82000,USD,82000,US,0,US,L,0,11
|
||||
2023,SE,FT,Data Analyst,130000,USD,130000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,105200,USD,105200,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,122700,USD,122700,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,120000,USD,120000,US,100,US,M,2,11
|
||||
2022,SE,FT,Data Engineer,132320,USD,132320,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,130000,USD,130000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,55000,EUR,59020,ES,100,ES,M,2,12
|
||||
2020,MI,FT,Data Engineer,130800,USD,130800,ES,100,US,M,2,12
|
||||
2022,MI,FT,Data Engineer,70000,GBP,86193,GB,100,GB,M,2,8
|
||||
2021,SE,FT,Machine Learning Scientist,225000,USD,225000,US,100,CA,L,3,11
|
||||
2023,MI,FT,Deep Learning Engineer,150000,USD,150000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,130000,USD,130000,US,0,US,M,3,11
|
||||
2022,SE,FT,ETL Developer,250000,USD,250000,US,100,US,M,3,11
|
||||
2022,EN,FT,Data Engineer,85000,USD,85000,US,0,US,M,0,11
|
||||
2023,SE,FT,Data Analyst,70000,USD,70000,US,0,US,M,3,11
|
||||
2023,EN,FT,BI Developer,160000,USD,160000,US,0,US,M,0,11
|
||||
2022,SE,FT,Data Architect,63000,USD,63000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,184700,USD,184700,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,90000,GBP,110820,GB,0,GB,M,2,8
|
||||
2022,MI,FT,Data Analyst,80000,USD,80000,US,100,US,L,2,11
|
||||
2021,SE,FT,Research Scientist,50000,USD,50000,FR,100,US,S,3,10
|
||||
2022,SE,FT,Data Engineer,190000,USD,190000,US,100,US,M,3,11
|
||||
2022,SE,FT,Research Scientist,85000,EUR,89306,FR,50,FR,L,3,10
|
||||
2022,MI,FT,Research Scientist,80000,EUR,84053,DE,0,DE,S,2,7
|
||||
2023,MI,FT,Data Engineer,115092,USD,115092,US,0,US,M,2,11
|
||||
2023,EX,FT,Data Architect,180000,USD,180000,US,0,US,M,1,11
|
||||
2023,EX,FT,Data Engineer,115000,USD,115000,US,0,US,M,1,11
|
||||
2022,EN,FT,Data Manager,45600,USD,45600,US,100,US,M,0,11
|
||||
2023,SE,FT,Machine Learning Engineer,142200,USD,142200,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,170000,USD,170000,US,100,US,M,3,11
|
||||
2022,SE,FT,ML Engineer,160000,USD,160000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Analyst,150000,USD,150000,US,0,US,M,0,11
|
||||
2022,MI,FT,Data Analyst,40000,GBP,49253,GB,100,GB,M,2,8
|
||||
2021,EN,FT,Data Analyst,80000,USD,80000,US,100,US,M,0,11
|
||||
2023,MI,FT,Data Engineer,70000,GBP,85066,GB,100,GB,M,2,8
|
||||
2022,SE,FT,Data Engineer,120000,USD,120000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,130000,USD,130000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Specialist,165000,USD,165000,US,0,US,M,2,11
|
||||
2023,SE,FT,Applied Scientist,136000,USD,136000,US,0,US,L,3,11
|
||||
2022,EN,FT,Business Data Analyst,50000,USD,50000,IN,100,AS,L,0,47
|
||||
2023,SE,FT,Data Scientist,176000,USD,176000,CA,0,CA,M,3,6
|
||||
2022,SE,FT,Analytics Engineer,205300,USD,205300,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,220000,USD,220000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,38000,GBP,46178,GB,0,GB,M,2,8
|
||||
2022,SE,FT,Data Analyst,110000,USD,110000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,154000,USD,154000,US,0,US,M,2,11
|
||||
2023,MI,FT,Data Engineer,149600,USD,149600,US,0,US,M,2,11
|
||||
2023,SE,FT,Analytics Engineer,143200,USD,143200,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,206000,USD,206000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Engineer,131300,USD,131300,US,100,US,L,3,11
|
||||
2022,MI,FT,Data Engineer,70000,USD,70000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,51000,USD,51000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,65000,USD,65000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Specialist,70000,USD,70000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Architect,250000,USD,250000,US,0,US,M,3,11
|
||||
2022,SE,FT,Cloud Database Engineer,160000,USD,160000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,203500,USD,203500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Science Consultant,94500,USD,94500,US,0,US,M,3,11
|
||||
2023,EN,FT,AI Programmer,70000,USD,70000,IN,0,AU,L,0,47
|
||||
2022,SE,FT,Data Science Tech Lead,375000,USD,375000,US,50,US,L,3,11
|
||||
2022,SE,FT,Data Analyst,84900,USD,84900,US,100,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,174000,USD,174000,DE,0,DE,M,3,7
|
||||
2022,SE,FT,Data Scientist,185900,USD,185900,US,0,US,M,3,11
|
||||
2022,MI,FT,Machine Learning Scientist,160000,USD,160000,US,100,US,L,2,11
|
||||
2023,SE,FT,Data Engineer,252000,USD,252000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,140000,USD,140000,US,0,US,M,3,11
|
||||
2022,SE,FT,Analytics Engineer,150000,USD,150000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,48000,EUR,51508,ES,100,ES,M,3,12
|
||||
2023,MI,FT,Data Analyst,130000,USD,130000,CA,100,CA,M,2,6
|
||||
2023,SE,FT,Machine Learning Engineer,106900,USD,106900,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,161000,USD,161000,US,100,US,M,2,11
|
||||
2022,MI,FT,Data Scientist,130000,USD,130000,US,100,US,M,2,11
|
||||
2022,MI,FT,Data Analyst,100000,USD,100000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Analyst,116150,USD,116150,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Architect,110000,USD,110000,US,100,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,135000,USD,135000,US,0,US,M,0,11
|
||||
2022,MI,FT,Data Analyst,150000,USD,150000,US,0,US,M,2,11
|
||||
2023,SE,FT,Analytics Engineer,197000,USD,197000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,45000,EUR,47280,ES,0,ES,M,3,12
|
||||
2023,EN,FT,BI Developer,100000,USD,100000,US,0,US,M,0,11
|
||||
2020,SE,FT,Data Scientist,120000,USD,120000,US,50,US,L,3,11
|
||||
2023,SE,FT,Data Engineer,130000,USD,130000,US,100,US,M,3,11
|
||||
2023,SE,FT,BI Developer,140000,USD,140000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,129000,USD,129000,US,0,US,M,3,11
|
||||
2023,EN,FT,Autonomous Vehicle Technician,7000,USD,7000,GH,0,GH,S,0,48
|
||||
2022,EN,FT,Data Engineer,135000,USD,135000,US,0,US,M,0,11
|
||||
2021,SE,FT,Data Science Engineer,159500,CAD,127221,CA,50,CA,L,3,6
|
||||
2022,SE,FT,Analytics Engineer,135000,USD,135000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,204500,USD,204500,US,0,US,M,3,11
|
||||
2021,SE,FT,Lead Data Engineer,160000,USD,160000,PR,50,US,S,3,33
|
||||
2023,SE,FT,Data Analyst,94000,USD,94000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,135000,USD,135000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Science Manager,70000,USD,70000,US,0,US,M,2,11
|
||||
2022,SE,FT,Applied Data Scientist,177000,USD,177000,US,100,US,L,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,288000,USD,288000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,129300,USD,129300,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,203000,USD,203000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,140000,USD,140000,US,100,US,L,3,11
|
||||
2022,SE,FT,Research Engineer,149850,USD,149850,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,160000,USD,160000,US,100,US,M,3,11
|
||||
2022,MI,FT,Analytics Engineer,54000,USD,54000,US,0,US,M,2,11
|
||||
2022,EN,FT,Data Engineer,40000,GBP,49253,GB,100,GB,M,0,8
|
||||
2023,SE,FT,Machine Learning Infrastructure Engineer,100000,EUR,107309,FR,100,FR,M,3,10
|
||||
2023,SE,FT,Applied Scientist,205000,USD,205000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,180000,USD,180000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Manager,120000,USD,120000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,155000,USD,155000,US,0,US,M,3,11
|
||||
2023,EN,FT,AI Developer,60000,EUR,64385,DE,0,DE,M,0,7
|
||||
2022,SE,FT,Machine Learning Engineer,189650,USD,189650,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,95000,USD,95000,US,0,US,M,2,11
|
||||
2021,MI,FT,Data Engineer,250000,TRY,28016,TR,100,TR,M,2,30
|
||||
2022,SE,FT,Research Engineer,249500,USD,249500,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,81666,USD,81666,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,95000,USD,95000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,227000,USD,227000,US,0,US,M,3,11
|
||||
2023,SE,FT,Applied Scientist,222200,USD,222200,US,0,US,L,3,11
|
||||
2022,SE,FT,Data Scientist,151800,USD,151800,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,115000,USD,115000,US,0,US,M,3,11
|
||||
2021,MI,FT,Data Scientist,130000,USD,130000,US,50,US,L,2,11
|
||||
2023,SE,FT,Data Analyst,170550,USD,170550,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,185000,USD,185000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,120000,USD,120000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,130000,USD,130000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,275300,USD,275300,US,100,US,M,3,11
|
||||
2023,EX,FT,Director of Data Science,249300,USD,249300,US,0,US,M,1,11
|
||||
2023,MI,FT,Machine Learning Engineer,100000,GBP,121523,GB,0,GB,M,2,8
|
||||
2023,MI,FT,Data Engineer,75000,USD,75000,US,0,US,M,2,11
|
||||
2022,MI,FT,Data Engineer,75000,GBP,92350,GB,100,GB,M,2,8
|
||||
2022,MI,FT,Data Scientist,110000,USD,110000,US,100,US,L,2,11
|
||||
2022,SE,FT,Data Analyst,127000,USD,127000,US,0,US,M,3,11
|
||||
2022,SE,FT,Analytics Engineer,140250,USD,140250,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,300000,USD,300000,US,0,US,M,3,11
|
||||
2023,SE,FL,Machine Learning Researcher,50000,USD,50000,UA,50,UA,S,3,43
|
||||
2023,SE,FT,Data Scientist,160000,USD,160000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,128000,USD,128000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,141525,USD,141525,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,36000,EUR,37824,ES,0,ES,M,3,12
|
||||
2022,SE,FT,Data Engineer,216000,USD,216000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Science Manager,245100,USD,245100,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Analyst,85000,USD,85000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,166000,USD,166000,US,100,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Engineer,135000,USD,135000,US,0,US,M,3,11
|
||||
2023,SE,FT,Research Engineer,100000,EUR,107309,DE,100,DE,S,3,7
|
||||
2023,SE,FT,Research Engineer,293000,USD,293000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,112900,USD,112900,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,165000,USD,165000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,60000,USD,60000,MX,100,MX,M,2,32
|
||||
2023,SE,FT,Data Manager,140000,USD,140000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,35000,EUR,37558,PT,0,PT,M,3,40
|
||||
2023,SE,FT,Data Analyst,120000,USD,120000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,160000,USD,160000,US,0,US,M,0,11
|
||||
2023,MI,FT,Data Scientist,97750,USD,97750,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Engineer,175000,USD,175000,US,100,US,M,3,11
|
||||
2023,SE,FT,BI Analyst,135000,USD,135000,US,0,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Manager,200000,USD,200000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,99100,USD,99100,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,100000,USD,100000,US,0,US,M,2,11
|
||||
2023,SE,FT,BI Developer,135000,USD,135000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,170000,USD,170000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Science Engineer,60000,USD,60000,AR,100,MX,L,3,48
|
||||
2022,SE,FT,Data Scientist,210000,USD,210000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,110000,USD,110000,US,100,US,M,3,11
|
||||
2021,MI,PT,Data Engineer,59000,EUR,69741,NL,100,NL,L,2,3
|
||||
2023,SE,FT,Data Scientist,120250,USD,120250,GB,0,GB,M,3,8
|
||||
2022,SE,FT,Data Engineer,139860,USD,139860,US,0,US,M,3,11
|
||||
2022,EN,FT,Data Science Consultant,26000,EUR,27317,ES,50,ES,L,0,12
|
||||
2023,SE,FT,Data Analyst,81666,USD,81666,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,127075,USD,127075,US,100,US,M,3,11
|
||||
2023,EX,FT,Data Engineer,175000,USD,175000,US,0,US,M,1,11
|
||||
2022,SE,FT,Data Scientist,120000,USD,120000,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Engineer,90000,USD,90000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,113000,USD,113000,CA,0,CA,M,3,6
|
||||
2023,SE,FT,Applied Scientist,262500,USD,262500,US,0,US,L,3,11
|
||||
2022,SE,FT,Data Engineer,130000,USD,130000,US,0,US,M,3,11
|
||||
2022,MI,FT,BI Data Analyst,65000,AUD,45050,AU,50,AU,L,2,5
|
||||
2023,SE,FT,Data Engineer,146000,USD,146000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,150000,USD,150000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,122000,USD,122000,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,172200,USD,172200,US,0,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,109400,USD,109400,US,0,US,M,3,11
|
||||
2022,SE,FT,Analytics Engineer,75000,GBP,92350,GB,0,GB,M,3,8
|
||||
2022,MI,FT,Data Analyst,75000,USD,75000,US,100,US,M,2,11
|
||||
2023,SE,FT,Data Architect,174500,USD,174500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,85500,USD,85500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,275300,USD,275300,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,153600,USD,153600,US,0,US,M,3,11
|
||||
2022,MI,FT,Machine Learning Researcher,150000,USD,150000,US,100,US,M,2,11
|
||||
2023,EN,FT,Data Engineer,61800,USD,61800,US,100,US,M,0,11
|
||||
2023,SE,FT,Applied Scientist,136000,USD,136000,US,0,US,L,3,11
|
||||
2023,MI,FT,Data Analyst,100000,USD,100000,US,100,US,M,2,11
|
||||
2023,SE,FT,Applied Data Scientist,100000,AUD,68318,AU,100,FI,M,3,5
|
||||
2022,SE,FT,Data Engineer,117000,USD,117000,US,0,US,M,3,11
|
||||
2021,MI,FT,Data Engineer,100000,USD,100000,US,100,US,L,2,11
|
||||
2022,SE,FT,Machine Learning Engineer,214000,USD,214000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,70000,GBP,85066,GB,0,GB,M,2,8
|
||||
2021,SE,FT,Lead Data Engineer,276000,USD,276000,US,0,US,L,3,11
|
||||
2022,SE,FT,Data Engineer,132320,USD,132320,US,100,US,M,3,11
|
||||
2021,SE,FT,Data Science Manager,7000000,INR,94665,IN,50,IN,L,3,47
|
||||
2023,SE,FT,Data Analyst,125000,USD,125000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,110000,USD,110000,US,0,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Manager,150000,USD,150000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,36000,EUR,38631,ES,0,ES,M,3,12
|
||||
2023,SE,FT,Data Analyst,125000,USD,125000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,141525,USD,141525,US,100,US,M,3,11
|
||||
2023,SE,FT,Research Scientist,141288,USD,141288,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,65000,GBP,78990,GB,0,GB,M,2,8
|
||||
2022,SE,FT,Analytics Engineer,190000,USD,190000,US,100,US,M,3,11
|
||||
2021,EN,FT,Data Analyst,50000,EUR,59102,FR,50,FR,M,0,10
|
||||
2023,MI,FT,Data Engineer,125000,USD,125000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Analytics Manager,109280,USD,109280,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,143000,USD,143000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Architect,190000,USD,190000,US,100,US,M,3,11
|
||||
2023,SE,FT,Machine Learning Engineer,276000,USD,276000,US,0,US,M,3,11
|
||||
2023,SE,FT,Principal Data Scientist,80000,EUR,85847,ES,100,ES,L,3,12
|
||||
2020,EN,FT,Big Data Engineer,70000,USD,70000,US,100,US,L,0,11
|
||||
2022,EN,FT,Data Scientist,80000,USD,80000,US,0,US,M,0,11
|
||||
2020,SE,FT,Machine Learning Scientist,260000,USD,260000,JP,0,JP,S,3,41
|
||||
2022,MI,FT,Data Engineer,95000,USD,95000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,36000,EUR,38631,LV,0,LV,M,3,18
|
||||
2023,SE,FT,Data Engineer,153600,USD,153600,US,0,US,M,3,11
|
||||
2023,SE,FT,Analytics Engineer,190000,USD,190000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,203500,USD,203500,US,0,US,M,3,11
|
||||
2023,EX,FT,Data Engineer,106500,USD,106500,US,0,US,M,1,11
|
||||
2022,MI,FT,Deep Learning Engineer,40000,GBP,49253,GB,100,GB,M,2,8
|
||||
2023,EN,FT,Data Analyst,100000,USD,100000,UZ,100,US,L,0,48
|
||||
2023,SE,FT,Data Architect,213120,USD,213120,US,100,US,M,3,11
|
||||
2023,SE,FT,Research Scientist,200000,USD,200000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,90000,USD,90000,US,0,US,M,3,11
|
||||
2023,SE,FT,Research Scientist,200000,USD,200000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,45000,GBP,54685,CF,100,CF,M,3,48
|
||||
2023,SE,FT,Research Scientist,130000,USD,130000,US,100,US,M,3,11
|
||||
2022,EN,FT,Machine Learning Engineer,28500,GBP,35093,GB,100,GB,L,0,8
|
||||
2021,EX,FT,Director of Data Science,120000,EUR,141846,DE,0,DE,L,1,7
|
||||
2022,SE,FT,Data Scientist,249500,USD,249500,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,108000,USD,108000,US,50,US,L,2,11
|
||||
2022,EN,FT,Machine Learning Developer,33000,USD,33000,IT,100,DE,S,0,14
|
||||
2023,SE,FT,Data Engineer,126000,USD,126000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,147100,USD,147100,US,0,US,M,3,11
|
||||
2021,SE,FT,Data Analyst,115000,USD,115000,US,100,US,S,3,11
|
||||
2023,SE,FT,Data Scientist,145000,USD,145000,US,100,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Engineer,65000,USD,65000,AE,100,AE,S,3,34
|
||||
2023,EN,FT,Data Engineer,1400000,INR,17022,IN,100,IN,L,0,47
|
||||
2022,SE,FT,Data Engineer,100000,USD,100000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,125000,USD,125000,US,0,US,M,0,11
|
||||
2022,SE,FT,Data Scientist,191475,USD,191475,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,225000,USD,225000,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Scientist,90000,USD,90000,US,100,US,M,2,11
|
||||
2022,SE,FT,Data Engineer,95000,USD,95000,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,60000,USD,60000,US,0,US,M,3,11
|
||||
2023,EN,FT,Data Analyst,75000,USD,75000,US,100,US,M,0,11
|
||||
2023,MI,FT,Data Analyst,182500,USD,182500,US,0,US,M,2,11
|
||||
2023,EN,FT,Data Analyst,85000,USD,85000,US,100,US,M,0,11
|
||||
2023,SE,FT,Data Analytics Manager,120000,USD,120000,US,100,US,M,3,11
|
||||
2021,SE,FT,Machine Learning Engineer,200000,USD,200000,US,100,US,L,3,11
|
||||
2023,SE,FT,Data Manager,60027,GBP,72946,GB,0,GB,M,3,8
|
||||
2022,SE,FT,Data Scientist,140700,USD,140700,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Manager,135000,USD,135000,US,0,US,M,2,11
|
||||
2023,EN,FT,Data Analyst,60000,USD,60000,US,100,US,M,0,11
|
||||
2023,MI,FT,Data Specialist,130000,USD,130000,US,0,US,M,2,11
|
||||
2022,MI,FT,Analytics Engineer,200000,USD,200000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Scientist,198800,USD,198800,US,0,US,M,3,11
|
||||
2021,EN,FT,Machine Learning Engineer,125000,USD,125000,US,100,US,S,0,11
|
||||
2023,MI,FT,Data Scientist,100000,USD,100000,US,0,US,M,2,11
|
||||
2023,EX,FT,Data Engineer,236000,USD,236000,US,100,US,M,1,11
|
||||
2023,SE,FT,Data Engineer,106800,USD,106800,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,135000,USD,135000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Analyst,121700,USD,121700,US,0,US,M,3,11
|
||||
2023,MI,FT,Data Scientist,82920,USD,82920,US,100,US,M,2,11
|
||||
2022,MI,FT,Data Analyst,100000,USD,100000,US,0,US,M,2,11
|
||||
2022,SE,FT,Data Engineer,178750,USD,178750,US,0,US,M,3,11
|
||||
2022,MI,FT,Data Engineer,50000,GBP,61566,GB,0,GB,M,2,8
|
||||
2021,MI,FT,Data Scientist,109000,USD,109000,US,50,US,L,2,11
|
||||
2023,SE,FT,Data Science Manager,134236,USD,134236,US,0,US,M,3,11
|
||||
2021,SE,FT,Data Engineer,82500,GBP,113476,GB,100,GB,M,3,8
|
||||
2023,SE,FT,Machine Learning Engineer,247500,USD,247500,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,104000,USD,104000,US,100,US,M,3,11
|
||||
2023,SE,FT,Data Scientist,70000,USD,70000,US,0,US,M,3,11
|
||||
2022,SE,FT,Machine Learning Engineer,131300,USD,131300,US,100,US,L,3,11
|
||||
2022,SE,FT,Data Scientist,180000,USD,180000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Engineer,50000,GBP,61566,GB,0,GB,M,3,8
|
||||
2022,MI,FT,Data Scientist,72000,EUR,75648,DE,100,DE,S,2,7
|
||||
2023,SE,FT,Analytics Engineer,116450,USD,116450,US,0,US,M,3,11
|
||||
2021,SE,FT,ML Engineer,256000,USD,256000,US,100,US,S,3,11
|
||||
2023,SE,FT,Data Science Manager,299500,USD,299500,US,0,US,M,3,11
|
||||
2022,EN,FT,Data Engineer,135000,USD,135000,US,0,US,M,0,11
|
||||
2022,SE,FT,Data Engineer,135000,USD,135000,US,100,US,M,3,11
|
||||
2020,MI,FT,Data Analyst,41000,EUR,46759,FR,50,FR,L,2,10
|
||||
2023,SE,FT,Data Analyst,208049,USD,208049,US,0,US,M,3,11
|
||||
2023,SE,FT,Data Engineer,250000,USD,250000,US,100,US,M,3,11
|
||||
2023,MI,FT,Data Analyst,150000,USD,150000,US,0,US,M,2,11
|
||||
2023,SE,FT,Data Scientist,237000,USD,237000,US,100,US,M,3,11
|
||||
2022,SE,FT,Data Analyst,105000,USD,105000,US,0,US,M,3,11
|
||||
2022,SE,FT,Data Scientist,141525,USD,141525,US,100,US,M,3,11
|
||||
2023,EN,FT,Data Engineer,58000,USD,58000,US,100,US,M,0,11
|
||||
2022,SE,FT,Data Analyst,35000,EUR,36773,ES,0,ES,M,3,12
|
||||
2022,SE,FT,Data Analyst,38000,EUR,39925,ES,0,ES,M,3,12
|
||||
|
3005
lab_6/train_data.csv
Normal file
3005
lab_6/train_data.csv
Normal file
File diff suppressed because it is too large
Load Diff
1599
lab_8/laba8.ipynb
Normal file
1599
lab_8/laba8.ipynb
Normal file
File diff suppressed because one or more lines are too long
1083
lab_9/laba9.ipynb
Normal file
1083
lab_9/laba9.ipynb
Normal file
File diff suppressed because one or more lines are too long
53944
static/csv/DiamondsPrices2022.csv
Normal file
53944
static/csv/DiamondsPrices2022.csv
Normal file
File diff suppressed because it is too large
Load Diff
3756
static/csv/ds_salaries.csv
Normal file
3756
static/csv/ds_salaries.csv
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user