• Location: New York, New York
  • Date Posted: 15th Aug, 2019
  • Reference: MM08152019NFI

Sr Data Scientist - NYC - 195K

This client is looking for a Sr Data Scientist that's going to help grow out and develop their team. This company works out of NYC or NJ. They are a healthcare company that is on the bleeding edge of technology and isn't afraid to work with the next great technology. You will be the one running analytical experiments and evaluate alternate models. Responsibilities include analyses of various data streams, utilization of large data sets to determine unique insights to further business needs. Finding innovative ways to combine fields of data that don't naturally mesh together. While also Creating meaningful data visualizations to create a business impact. The best part is you can get some work done then step out for lunch and be in the city or relaxing in a park.

What they are looking for:

  • 2+ years of experience in the data science space

  • Worked in the data science field in either AWS or AZURE

  • Working in AL

  • Is not afraid to address the problems and find creative solutions

  • Have previous experience and projects in ML and AI


  • Unlimited PTO

  • Regular in-office social events, happy hours, etc.

  • 401K match program

  • Health/Medical/Dental benefits

  • Open Remote Policy

  • Educational Support

  • Commuter Benefits

  • Huge Opportunities for Growth

If you or someone you know is interested in this position, please send your resume directly to M.Morgan@nigelfrank.com or call (Michael Morgan) 646-863-7444. My client is looking to start the interview process as soon as possible.

Nigel Frank is the Azure recruiter of choice. We work with organizations worldwide to find and deliver the best Azure professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the Azure permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific.

Big Data / Data Science / Hadoop / Microsoft Business Intelligence / BI / Business Intelligence / SSRS / SSAS / SSIS / SQL / T-SQL / MDX / Azure / Cloud / AWS / Data Warehouse / ETL / Power BI / Architect / Big Data / Hadoop / Scala / Python / Apache / Hive / Spark / MS Azure / Amazon Web Services / AWS / EMR / RDS/ Redshift / S3 / EC2 / Lambda / Glue / Data Pipeline / Kafka / Power BI / Data Lake / Data Lake Analytics / Azure IoT Hubs / BLOB Storage / HDInsight / Data Factory / Machine Learning / SQL Data Warehouse / Steam Analytics / Ruby / DynamoDB / Kinesis

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