Senior Data Scientist

Ready to help us transform healthcare? Bring your true colors to blue.

The senior data scientist will lead high value work streams within Actuarial and Analytics Solutions (AAS) department and be intimately involved all phases of development, from ideation to design to build and deployment. This work includes a variety of modeling and analytics to support medical economics, payment integrity, and various other areas of finance. Additionally, they will be responsible for implementing advanced program measurements leveraging statistical analysis and developing/executing on predictive modeling use cases.

Finally, they will provide mentorship to junior data scientists and analysts.

* This role is eligible for our FLEX persona.

• Lead the research, design, and implementation of data science solutions to support current/future business needs
• Anticipate and provide strategies/solutions to complex data problems or trends
• Evaluate and design new approaches and methodologies to solve business problems or improve efficiency
• Utilize statistical techniques to execute on advanced measurements of messy/noisy data
• Produce meaningful observations and recommendations through synthesizing data from internal and external sources
• Drive the design, building, and launching of new data models and data pipelines
• Manage the delivery of high impact dashboards and data visualizations
• Maintain knowledge on current and emerging developments/trends; assess the impact and collaborate with management to incorporate new trends and development in current and future solutions
• Coordinate with other departmental leaders to ensure consistency and transparency in data trends, themes and findings, particularly across the areas of medical economics, trend measurement, pricing, financial planning and informatics
• Effectively communicate customized views of analysis and financial impacts to senior leadership

* This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties.

• Deep and broad understanding of health care delivery system and health plan operations, including knowledge of Medical Economics, Trend Management, Pricing, Forecasting, Provider Payment Methodologies, and industry benchmarks.
• Experience with machine learning algorithms, statistical techniques, data interpretation methodologies, and deploying Predictive Models in a variety of applications
• Proven ability to effectively communicate with all levels of the organization.
• Comfort managing multiple competing priorities
• Strong customer focus and ability to work effectively in matrix environment.
• Creative problem solver - able to assess problems, develop creative solutions and see solutions to completion.
• Ability to think strategically, ensure execution and influence others
• Proven ability to produce value in high performance environment.
• Familiarity of software for data analysis and modeling; specifically:
  Python, SQL, Tableau, statistical software (R, SAS etc)
• Proficiency working with modern data & analytics technologies and solutions on cloud platform (Snowflake preferred)
• Familiarity with working in an Agile Environment and partnering closely with IT

• Minimum of five years of health care experience in analysis, design, development and delivery of data solutions
• Direct experience with claims data a major plus
• BA/BS required; MS, MPH, PhD in relevant field considered in lieu of work experience.

Minimum

Education Requirements:

High school degree or equivalent required unless otherwise noted above.

Location:

Boston

Time Type:
Full time

Salary Range: $ - $

This job is also eligible for variable pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees.