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Principal Data Scientist

Job Title: Principal Data Scientist
Contract Type: Permanent
Location: New York
REF: DS059
Contact Name: Rebaz Has
Job Published: 5 months ago

Job Description

An opportunity to work at the intersection between data science and business at a firm with the worlds leading health-tech capabilities.




  • One of the US's largest healthcare firms with a market cap in the 10s of Billion, members in the 10s of million and partnerships with Silicon Valleys finest 
  • One of the largest data science functions in the US with 100+ top specialists in areas such as Deep Learning, NLP and other advanced Machine Learning methodologies



  • Work with C-level stakeholders and articulate machine learning concepts in non-technical terms
  • Lead team of 2-3 Data Scientists on the development and delivery of predictive analytics solutions to drive behavior change or customer experience across channels
  • Consults with business partners to understand problems and goals, understand business value, and translate into business opportunities to be captured through predictive analytics solutions
  • Develops and/or uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
  • Think creatively to identify opportunities for digital innovation
  • Acts as an analytics product owner translating business needs into analytics projects and actions.

  • Evaluate externally developed technology solutions
  • Communicate new ideas and methods to broader team
  • Increase efficiency through both tactical and strategic technology implementations



  • You are a go-getter and self-starter with an entrepreneurial spirit
  • 7-10 or more years of progressively complex related experience
  • Advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling
  • Expertise in using R or Python to manipulate large data sets and develop statistical models
  • Expertise in data management in a Hadoop environment, including the use of Hive
  • Degree preferred n STEM fields such as Computer Science, Machine Learning, Applied Statistics, Operations Research, Systems Engineering, Econometrics, Mathematics
  • Ability to apply statistical and quantitative methods such as Machine Learning using Python or R
  • Ability to explain complex analytical concepts to people from other fields
  • Strong programming skills, Project management skills
  • Experience in applying data science methods to business problems
  • Strong logical, analytical, presentation and communication skills