Lead Data Scientist - job id 31792


Your Way To Work™

Lead Data Scientist

$900 - Per Day w2

Midtown NYC on 7th



How to Apply

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Spencer Sotto


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(646) 876-9544


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(212) 616-4800 ext-220




A Contract position at One of the largest international banking networks with strong positions in Asia and a significant presence in the United States..

Pay Options: w2.

Contact Spencer Sotto. call (646) 876-9544 / (212) 616-4800 ext.220 or email spencer@sans.com with the Job Code SS31792 or Click the Apply Now button ().

Location: Midtown.

Skills required for the position: DATA SCIENTIST, BIG DATA, HADOOP, ELASTIC, DATA VISUALIZATION, MACHINE LEARNING, SQL.


Detailed Info: to partner with senior business sponsors, platform supervision, compliance, and business management to develop a highly visible holistic supervisory and surveillance platform. Design and implement a data strategy to support business use cases focused on multi-vector analysis using various natural language processing and machine learning techniques. Primary focus is to analyze available structured and un-structured information, apply data mining techniques, perform statistical analysis, and provide methods (algorithmic and technical) to create actionable alerts and reduce false-positives. Develop and enhance software solutions to meet business requirements. Gather and document technical requirements and specifications. Attend regular meetings and interface with internal and external teams related to the project. Work with the project PM and BA's to provide input on schedules and implementation best practices. Work on multiple tasks and respect aggressive schedule. Work in a fast paced environment. Support may include extra hours, nights and weekends.


Development/Computing Environment: Master's degree in engineering, math, statistics, physics or other technical field. Experience with of Big Data technologies including large data stores like Hadoop, Elastic, Apache Solr, et cetera. Proven track record of implementing internal and/or external Big Data solutions. Proven ability to find hidden insights and patterns within historical data. Knowledge of various Statistical Analysis, Probabilistic Analysis and Data Visualization techniques preferred. Experienced with Machine Learning. Advanced knowledge of SQL systems, with at least 5 year's experience developing in Oracle, Microsoft SQL Server, PostgreSQL, MySQL. Advanced knowledge of NoSQL systems such as Cassandra, CouchDB, MongoDB, HBase, MarkLogic, Neo4J, Redis, and others. Knowledge of Cloud Computing (AWS, Azure, Google). Knowledge of JAVA, J2EE, JavaScript, JSON, Python, Perl, SQL, and PL/SQL a plus. Basic understanding of project lifecycle stages - Requirements Gathering to Post Implementation. Experienced as a team player working in a global team. Ability to manage conflicting requests on time in a continually fast moving environment. Must be a self-starter with attention to detail. Strong communications (written and oral) skills in a front-office setting. Preferred qualifications: Experience with Front Office traders, IT support and Operation teams in a Capital Markets domain. Experience with machine learning, natural language processing, AI, or robotics is a plus..

The position offers competitive rate.


Job Id: 31792