The Technology Data Science & Data Governance team is looking for a highly motivated Data Scientist to join us at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business. This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities – both, large impact and smaller ”quick hits” complex engagements. A successful candidate will be organized, creative, and interested in solving business problems using data and analytics. They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment.

The Analyst I, Data Science gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes 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 focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.

Responsibilities:

• Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
• Assists in customizing analytic solutions to specific client needs.
• Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
• Engages with the Data Science community.
• Participates in cross functional working groups.

Job Specifications:

Reference: 2022-53025
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time

Salary: USD-$90,100.00-–-$126,200.00-/-Year
Education Level:
Travel: As Needed