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WNS North America Inc logo

Data Scientist, Sr.

WNS North America Inc

NEW YORK, NYJobSeen 1w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Data Scientist will coordinate the design and execution of machine learning and causal inference models for omnichannel engagement, and develop predictive analytics solutions using large-scale healthcare datasets. The role includes building statistical models and data maps, analyzing data with a range of analytics platforms, and participating in the data warehouse lifecycle. The position is based in New York, with unanticipated client sites across the United States; domestic travel and/or relocation is required.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning, nice to haveCausal Inference, nice to havePredictive Analytics, nice to haveStatistical Modeling, nice to haveData Mapping, nice to haveBusiness Intelligence, nice to haveAdvanced Analytics, nice to haveHadoop, nice to haveAWS, nice to haveAzure, nice to haveR, nice to haveTableau, nice to haveTeradata, nice to haveSnowflake, nice to havePySpark, nice to haveSpark SQL, nice to haveGit, nice to haveData Sourcing, nice to haveETL, nice to haveData Transformation, nice to haveMultidimensional Modeling, nice to haveData Warehousing, nice to haveReporting, nice to have

Qualifications

Master's in IT, Analytics, CS, or IS + 2 Years or Bachelor's in IT, Analytics, CS, or IS + 5 Years, nice to have2 Years Hadoop, AWS, Azure, R, Tableau, Teradata, Snowflake, PySpark, Spark SQL, and Git Experience, nice to haveWilling to Travel and/or Relocate Domestically, nice to have

Full job description

Coordinate design & execution of machine learning & causal inference models to support omnichannel engagement. Develop predictive analytics solutions using large-scale healthcare datasets. Build statistical models & data maps, collaborate with business teams to apply BI & advanced analytical methods. Analyze data to identify patterns & insights using Hadoop, AWS, Azure, R, Tableau, Teradata, Snowflake, PySpark, Spark SQL, GIT. Participate in full data warehouse lifecycle, including data sourcing, ETL processes, transformations, development of multidimensional models (data marts, star schemas) & reporting. Education and Experience required: Masters degree in Information Technology or Analytics or Computer Science or IS plus 2 years experience in job offered or as Data Scientist or Analyst or Business Intelligence. In lieu of Masters degree and 2 years experience will accept Bachelor's degree in Information Technology or Analytics or Computer Science or IS plus 5 years progressive experience in job offered or as Data Scientist or Analyst or Business Intelligence. Prior work experience must include 2 years experience in Hadoop, AWS, Azure, R, Tableau, Teradata, Snowflake, PySpark, Spark SQL, GIT. The job offer is in New York, NY and unanticipated client sites across the US. Must be willing to travel and/or relocate domestically.

How this job compares

Set against the 4,508 open Data Scientist jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This postingNot listed
  • New York median$148–211K/yr348 salary ranges
  • US median$66–78/hr113 hourly ranges
Openings
Olive Jobs lists 444 open Data Scientist jobs in New York and 4,508 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 2 years of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 3,906 postings).
Education
2,206 of the 4,508 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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