When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

• Award-winning culture
• Inclusion and diversity as a priority
• Performance Based Incentive Plans
• Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
• Generous PTO (including paid time to volunteer!)
• Up to 9.5% 401(k) employer contribution
• Mental health support
• Career advancement opportunities
• Student loan repayment options
• Tuition reimbursement
• Flexible work environments

• Bachelor's degree in quantitative field is required. Master's degree is preferred.
• 4+ years of professional experience or equivalent relevant work experience preferred.

• Deep expertise in at least two of the following skillsets preferred; and competency in the other:
• Programming & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines. Understanding of process research and design, which may be demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software is preferred.
• Data Visualization: Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization. Understanding of dynamic data visualization.
• Statistics & Statistical modeling: Expertise using statistical inference and regression. Solid understanding of machine learning algorithms. Solid understanding of feature selection and extraction. Conducts end-to-end machine learning tasks from problem synthesis to model deployment.

• Preferred skills include expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables to identify best data sources to solve business problems.
• Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.

• Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously.

• Demonstrated ability to coach or mentor team members, ability to commit quickly and positively to change. Viewed as a promoter of change management and leads proof of concept work and prototyping when necessary

• Entrepreneurial self-starter, a thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity AND intermediate understanding of their organization

• Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value.
• Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies.
• Apply validation, aggregation, and reconciliation techniques to create rich modeling-ready data framework.
• Construct and tune predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering.
• Efficiently interpret results and communicate findings and potential value to influence manager and leadership decision making.
• Support integration of solutions within existing business processes using automation techniques.
• Understand theory and application of current and emerging statistical methods and tools.
• Provides support, training and/or mentorship to lower-level Data Science peers.
• Perform other related duties as assigned