Unum Group offers an award-winning culture with a clear commitment to inclusion and diversity, plus a hybrid work model in Portland, Maine. As a Principal Data Scientist on the CX Analytics team within the Customer Experience Organization, you will drive applied data science across structured and unstructured data, design experiments, and leverage AI tools. You will mentor peers, partner with BI Analysts and Data Engineers, and translate complex data into actionable business insights that guide CX strategies.
Benefits
- Award-winning culture
- Inclusion and diversity as a priority
- Competitive compensation with a salary range of USD 109,100 - 224,000 per year
- Hybrid work environment in Portland, ME
- Health, Vision, and Dental benefits
- Short-term and Long-term Disability insurance
- Generous PTO including paid time to volunteer
- Up to 9.5% 401(k) employer contribution
- 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
Responsibilities
- Partner with business teams to deliver actionable insights and identify growth opportunities, communicating analyses to secure buy-in and inform decisions
- Integrate large data volumes from sources such as DB2, SQL Server, Web API and Teradata to create assets for ad-hoc analyses and larger studies
- Apply validation, aggregation, and reconciliation methods to build a rich, modeling-ready data framework
- Establish and maintain best practices for the team’s data science strategy while staying informed of cross-industry advances
- Prioritize and lead analytics projects
- Apply domain expertise and state-of-the-art techniques to construct predictive models that explain events, forecast behavior, or identify risk through scoring or clustering
- Interpret results efficiently and communicate findings and potential value to business partners to influence strategic decisions
- Lead the integration of solutions within existing processes using automation
- Understand both theory and practical application of current and emerging statistical methods and tools
- Coach, mentor, and develop peers and team members
- Perform other related duties as assigned
Requirements
- Bachelor’s degree in a quantitative field is required; Master’s or PhD is preferred
Technologies
- DB2
- SQL Server
- Web API
- Teradata
Data Visualization
Ability to critically evaluate visualization approaches and select appropriate techniques for specific scenarios.
Statistics & Statistical Modeling
Expertise in statistical inference and regression, with strong background in machine learning, feature selection, and feature extraction. Proven track record of leading multiple high-impact ML and analytics projects end-to-end.
Data Extraction, Transformation, and Loading Skillsets Preferred
Proficiency in writing complex SQL queries joining multiple tables or databases, demonstrated through independent data source research, troubleshooting, and collaboration with external data providers. Ability to design logical data models by combining data from internal and external sources.
Core Business Capabilities
Strong communication skills and domain experience in financial services, with a history of leading engagements and collaborating with executive leadership. Solid project management abilities, including independent prioritization and guidance to junior team members.
Leadership Capabilities
Known as a field leader, with natural coaching and mentoring abilities. Proactive in driving change management and maintaining deep technical understanding of third-party and cloud solutions.
Leadership Responsibilities
- People management: participate in staffing needs, hiring, and development; lead assigned team to complete activities and projects
- Analytics strategy and program management: coach and mentor, help build the team, and identify new approaches and skills for advanced analytics
Preferred Characteristics
Entrepreneurial self-starter with a results-oriented mindset, lifelong learner mindset, and strong organizational expertise. Demonstrates independent research and development of techniques that can be shared internally and externally.
