Senior Data Scientist (New Rochelle)


: $108,523.33 - $200,310.00 /year *

Employment Type

: Full-Time


: Information Technology

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The Senior Data Scientist will be a part of the S&P Global Market Intelligence (SPGMI) Data Science team.

The Role:

Discover insights and identify opportunities through the use of statistics, algorithms, data mining and visualization techniques
Build and evaluate models, make predictions, gather results, and communicate findings to stakeholders
Evaluate the big picture and solve problems rather than looking at metrics alone
Use advanced business knowledge and advanced machine learning techniques to acquire, combine & transform multiple dataset to solve a business use case
Collaborate with engineering and product teams to create and build strategic models that drive product improvements while maintaining cost efficiency
Build and maintain re-usable machine learning and model validation procedures for the rest of the team to use

Experience and qualifications:

Bachelors Degree in Mathematics, Statistics, Computer Science, Engineering, Operations Research or related fields preferred ( Masters degree an advantage )

5+ years practical experience with statistical analysis and creating complex models, preferably in the financial services sector

Excellent analytical and problem solving skills

Advanced experience in at least one data analysis/data transformation package (R,Python, Alteryx)

Exposure to one or more data discovery, data visualization tools

5+ years of hypothesis testing, web analytics and python scripting

Experience with Machine Learning and Natural Language Processing

Ability to remain focused and to think logically in a fast-paced environment


* experience with nlp

* exposure to reinforcement learning

* exposure to information retrieval (search)

Associated topics: data analyst, data integration, data integrity, data management, data scientist, database, database administrator, erp, hbase, sql * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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