Come join a vibrant data science research team in the emerging field of business lines product pricing and segmentation. A successful applicant is expected to be able to collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making; and utilize data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This level reflects solid knowledge of predictive analytics techniques, while continuing to learn how to apply techniques to business issues.

Job Responsibilities

• Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured datasets in order to generate insights to inform business decisions.
• Identify and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application.
• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enable the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Create tools that support product pricing.
• Be responsible for smaller components of projects of moderate-to-high complexity.
• Regularly engage with the data science community and participates in cross-functional working groups.

The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level. Compensation depends on geographic area.

Job Specifications:

Reference: 2021-39236
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time

Salary: USD-$85,100.00-–-$138,900.00-/-Year
Education Level:
Travel: As Needed