Lead Data Scientist

Humana Lead Data Scientist Providence, Rhode Island Apply Now

Become a part of our caring community and help us put health first

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.

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.

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.

This role influences the department's strategy, contributes to the decision-making on complex issues regarding technical approaches for project components, and works on model building use cases with minimal supervision.

Exercises considerable latitude in determining objectives and approaches to assignments.

Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics.

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.

Compile and present regular and ad-hoc project status reports.

Use your skills to make an impact

Required 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.

Work at Home Information

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

Scheduled Weekly Hours

Pay 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.

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.

About us

Humana Inc. (NYSE : HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it.

These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

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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