Data Scientest / Data Engineer (Pandas, TensorFlow, Scikt-Learn, Scipy, Keras, Numpy) - job id 33662


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Data Scientest / Data Engineer (Pandas, TensorFlow, Scikt-Learn, Scipy, Keras, Numpy)

$100 - $120/hour on W2 or Corp to Corp

Downtown Manhattan



How to Apply

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Jason Vu


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(646) 876-9536


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(212) 616-4800 ext-290




A Contract position at Financial Information and Financial Market Data Company


Pay Options: 3rd Party (Subcontract) corp to corp or w2.

Contact Jason Vu. call (646)876-9536 / (212)616-4800 ext.290 or email jason@sans.com with the Job Code JV33662 or Click the Apply Now button (Sorry, NO IC - Self Incorporated for this position!).

Location: Mid-town, Manhattan



Detailed Info:


  • Python development skills as a data scientist/data engineer working with big data technologies such as Spark, Hive


  • Any exposure to Cloud Amazon S3, Amazon Athena, Amazon EMR, Amazon Kinetics, Amazon RedShift, Amazon QuickSight


  • Experience building and developing basic statistics models as well as advanced techniques such as time series analysis, clustering algorithms, etc.


  • Expertise in a variety of tools and libraries for the analysis and manipulation of large datasets such as Pandas, Numpy, Theano, Keras, PyTorch, SciPy, PyBrain, Scikt-Learn, TensorFlow, Seaborn, Plotly, Bokeh, NLTK, Statsmodels, etc.


  • Work in mid-town New York City for financial market data company for 18 months or longer.


  • Prefer candidates who have previously worked at financial market data companies such as Moodys, Thomson Reuters, S&P (Standard & Poors), ICE (Intercontinental Exchange), NASDAQ, New York Stock Exchange, Bloomberg, Markit, FactSet, Fidessa, Dealogic, Morningstar, SIX Financial Information, etc.


  • Any work VISA: US Citizen, Green Card, H1B, TN1, H4, OPT EAD, etc.


Job Id: 33662