Humana

Lead Data Scientist (Remote)

Job description

This team supports several business units within Humana, including, but not limited to HR, Risk, Finance, etc. The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.

Responsibilities

The Lead Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

Required Qualifications:

  • Master's Degree + 6 years of experience, or equivalent experience with a Bachelors degree.
  • Experience with big data tools, especially Spark (PySpark)
  • Proficient in Tensorflow
  • Comfortable working with tools on the cloud
  • 2 or more years project leadership experience with the ability to think independently and creatively and bring solutions to the table. Ability to work under minimal supervision, using independent judgment
  • Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
  • Demonstrated experience in AI Implementation and ML modeling.
  • Proficiency in programming, preferably Python.
  • Successful demonstrated experience in working on problems of diverse scope and complexity ranging from moderate to substantial
  • Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
  • Experience in creating reports, projections, models, and presentations to support business
  • Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks
  • Ability to works under minimal supervision, using independent judgment
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
  • Experience in marketing

Nice to Have:

  • PhD
  • Previous experience in Fraud modeling, Forecasting, and Time series analysis.
  • Github reflecting data science projects

Additional Information

Scheduled Weekly Hours

40

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