Lead Data Scientist

Become a part of our caring community and help us put health firstThe 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.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, using independent judgment requiring analysis of variable factors and determining the best course of action.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.Responsibilities: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 business, 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.Use your skills to make an impactRequired Qualifications:Bachelor's Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field.3 years of advanced data analytics with experience creating reports, projections, models, and presentations to support business.Working knowledge of Python, R, SAS, SQL, MATLAB, 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 cloud computing, Azure, Google Cloud, or AWS.Experience in developing, maintaining, and collecting large structured and unstructured data sets for analysis and reporting.Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks.Experience interpreting and communicating analytic results to analytical and non-analytical business partners.Naturally curious and comfortable with ambiguity and demonstrate critical thinking.Preferred Qualifications:Advanced degree (Master's, 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 building large-scale predictive models.Experience in Big Data environment specifically Databricks and/or PySpark.Experience in cost of care and trend analysis.Actuarial background or experience.Additional Information:This role is "remote/work at home" and can be based anywhere in the United States.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. $126,800 - $174,500 per year. This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of Benefits:

Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being.About us:

Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company.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.

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