Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Data Scientist at South Burlington, VT 05403, USA

The Data Scientist position with our Minneapolis Health and Life practice will assist in researching and implementing value-added machine learning solutions in the health and long-term care insurance domains in order to continuously improve our offerings that support our clients’ needs.

Detailed Description

Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world’s most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance.

Who We Are

The Minneapolis Health and Life practice is composed of healthcare and long-term care insurance professionals who provide our clients with industry-leading consulting services. We also develop and maintain innovative products that complement our consulting services. We are an expanding group with experience leading the way in industries that continuously change and evolve. Our office encourages an open and collaborative work environment to help our professionals grow and thrive.

The Department/Team

The data science team is a growing group of data scientists, actuaries, and software engineers involved in work that supports all areas of the practice. The analyses and techniques used are cutting edge while providing clients with accurate and easily interpreted business results. We are a flexible group that supports any of our clients’ needs. Our work includes developing innovative modeling solutions, technical peer reviews, and fairness testing of machine learning algorithms, and ad-hoc analyses. The clients we serve include industry-leading insurance and tech companies, world-renowned hospital systems, and agile startups. Employees balance working independently and collaborating with other team members within the Minneapolis practice and Milliman practices around the world on a variety of projects. Data scientists and subject matter experts work closely together to ensure solutions are both statistically rigorous and solve the correct problem for the client.

Role

You will:

• Work creatively and independently to pursue novel solutions to interesting problems,
• Process large data sets for predictive models and visualization,
• Develop data visualizations,
• Develop tools and code to be used by others with limited programing experience,
• Create models for analyzing and predicting various risks,
• Evaluate candidate models based on predictive power, ease of implementation, explainability, and other criteria,
• Present results to peers and project leaders,
• Draft written reports and prepare other external/internal correspondence,
• Prepare and document project files,
• Assist with research and business development projects, and
• Check other’s work for technical accuracy.

Qualifications

Required:

• A college degree in a STEM related discipline such as actuarial science, mathematics, data science, statistics, computer science, or other quantitative field, 
• Fluency in R, Python, Scala, or SQL, 
• Demonstrated ability to summarize, explore, and manipulate large data sets, 
• Able to employ a variety of supervised and unsupervised machine learning methods for structured/tabular datasets, and
• GPA 3.0 or higher.

Desired:

• 0-2 years of experience in healthcare, insurance, or a related field,
• Master’s or PhD in a STEM related discipline such as actuarial science, mathematics, data science, statistics, computer science, or other quantitative field,
• Excellent communication skills,
• Curiosity, creativity, and self-direction,
• Good understanding of the math and statistics that support machine learning efforts,
• Good Data Wrangling skills,
• Interest or passion in the healthcare industry and solving problems related to protecting the health and financial well-being of people everywhere,
• Experience with version control and state management tools such as Git and Docker,
• Experience scaling data engineering and machine learning pipelines with parallel/distributed processing with tools such as Apache Spark, and/or cloud platforms such as Databricks,
• Experience using cloud resources provided by Amazon Web Services (AWS) and/or Microsoft Azure, and 
• GPA 3.5 or higher.

Milliman Benefits

At Milliman, we focus on creating an environment that recognizes – and meets – the personal and professional needs of the individual. We offer a competitive benefits package which includes:

• Medical, dental and vision coverage for employees and their families, including eligible domestic partners
• A 401(k) plan with matching program
• Paid Parental Leave up to 12 weeks
• Profit sharing as a discretionary contribution to employees’ retirement accounts
• Paid Time Off (PTO) starts accruing on the first day of work and can be used for any reason
• Adoption assistance
• Milliman covers 100% of the premiums for life insurance, AD&D, and both short term and long term disability coverage
• Flexible spending accounts allow employees to set aside pre-tax dollars to pay for dependent care, transportation and applicable medical needs
• Competitive starting salary
• Opportunity to earn end-of-year bonus
• Business casual work environment with free covered parking

Qualifications

Education Required

Bachelors or better in Mathematics or related field.

Experience Preferred

Less than 2 years: Experience in healthcare, insurance, or a related field.

Experience with version control and state management tools such as Git and Docker. Experience scaling data engineering and machine learning pipelines with parallel/distributed processing with tools such as Apache Spark, and/or cloud platforms such as Databricks. Experience using cloud resources provided by Amazon Web Services (AWS) and/or Microsoft Azure.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities