The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist’s work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
The Senior 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. Exercises considerable latitude in determining objectives and approaches to assignments.
This is a unique opportunity for a motivated individual to influence Humana’s vision to provide coordinated, integrated member journey via multiple innovative solutions. The Senior Data Scientist creates reports, projections, models, and presentations to support business strategy and tactics. This role influences department’s strategy, contributes to the decision making on complex issues regarding technical approach for project components, and works on model building use cases with minimal supervision. Exercises considerable latitude in determining objectives and approaches to assignments. As a Senior Data Scientist, you will:
Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics
Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
Research and evaluate innovative analytical methodologies, approaches, and solutions
Collaborate with analytics and data teams to set objectives, approaches, and work plans
Interpret and communicate analytic results to analytical and non-analytical business partners
Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas
Compile and present regular and ad-hoc project status reports
Follow established guidelines/procedures
Required Qualifications
Master’s Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field
3+ years of experience in advanced data analytics
Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, DataRobot or similar statistical and scripting tools
Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting
Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
Experience interpreting and communicating analytic results to analytical and non-analytical business partners
Ability to exercise independent judgment and decision making on moderately complex to complex issues regarding technical approach for project components
Naturally curious and comfortable with ambiguity and demonstrate critical thinking
Clear and concise verbal and written communication skills, with a proven ability to translate complex methodologies and analytical results to non-technical business insights
Strong interpersonal and consulting skills
Preferred Qualifications
PhD in a quantitative discipline, such as Computer Science, Data Science, Mathematics or Statistics and/or related quantitative field
Healthcare or managed care experience
Experience in Natural Language Processing (NLP)
Experience developing and tuning LLM applications, utilizing GPT, LLAMA, or other models
Experience in health economics, test & learn, and/or experiment design
Experience building visualization and reports using Tableau or Power BI
Experience in Big Data environment specifically PySpark and/or Databricks
Experience in cloud computing, Azure or AWS
Experience in deep learning and recommendation
Experience in cost of care and trend analysis
Work-At-Home Requirements
To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested
Satellite, cellular and microwave connection can be used only if approved by leadership
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
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Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.