Data Analyst / Data Scientist - job id 32375


Your Way To Work™

Data Analyst / Data Scientist

$$

Lower Midtown



How to Apply

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Assigned To Be


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(212) 616-4800


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(212) 616-4800




A Contract position at one of the top Investment banks..

Pay Options: IC - Self Incorporated or 3rd Party (Subcontract) or w2.

Contact Assigned To Be. call |RECRUITER_PHONE| / or email sans-all@sans.com with the Job Code AT32375 or Click the Apply Now button ().

Location: Lower Midtown Manhattan.

Skills required for the position: DATA ANALYSIS, MACHINE LEARNING, BIG DATA, R, PYTHON, SPARK, NOSQL, FINANCE.


Detailed Info: Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Research, design, implement and validate cutting-edge Machine Learning algorithms to analyze diverse sources of data to achieve targeted outcomes. Work closely with finance change , line business partners in establishing a constant dialogue to explore new possibilities on Artificial Intelligence and machine learning use cases within Finance. Perform exploratory data analysis to characterize datasets and ascertain suitability of the data for predictive modelling. Perform feature engineering to come up with effective input features for predictive models using Spark. Develop optimized and scalable machine learning algorithms capable of performing predictive modelling using Spark, SparkML, H2o, scikit-learn and other packages. Consult with business users to validate the performance of the models. Continuously monitor and update the models over time to ensure their optimal performance. Attend administrative duties of daily scrums, back log grooming, and sprint planning session. Collaborate with the global team in continuous improvement efforts.

Development/Computing Environment: Very good experienced Machine Learning algorithms /libraries , Data study , Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala. Very good experience in R & Python. Experience with Spark, Experience with integration of data from multiple data sources. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB. Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O. Must have or become PNL expert relevant to financials industry..

The position offers competitive rate.


Job Id: 32375