Become a part of our caring community and help us put health first Growth Analytics & AI within Humana is dedicated to transforming members’ journeys and Humana’s services using technology and analytics. We are looking for a Senior Data Scientist who will utilize cutting-edge AI, NLP, GenAI techniques, build predictive modeling, test rigorous hypotheses, design studies, and turn data into actionable insights. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative AI, machine learning, and R&D platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated innovative, and creative methods for overcoming testing constraints, as well as successfully applying AI, NLP, GenAI, and machine learning techniques to address business needs. 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. Use your skills to make an impact 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 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 large-scale predictive models 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 Actuarial background or experience 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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