Principal Data Scientist, Unum Decision Technologies

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
• Competitive benefits package
• 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

And that's just the beginning

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:

The Unum Decision Technologies (UDT) team is at the forefront of transforming Unum into a data driven company. We are searching for forward thinking individuals who are able convert issues into opportunities using data, statistics, and reason to present impactful findings that help our company thrive. In this role you will partner closely with business leaders in researching a wide range of topics, with your teammates to construct statistical insights and models, and with ML/AI engineers to build and implement solutions. You will be instrumental in transforming Unum from a traditional insurance player to a leading data first digital insurance company; influencing senior executives around strategies and investments. Come be a part of a world class team with cross- discipline skills and partnerships with other functional areas across Finance, Marketing, and Operations.

This Data Science position requires a unique balance of business strategy, technical expertise, and the ability to communicate technical solutions clearly to varying audiences. This individual may be responsible for leading a small data science team in building a broad array of data sources and applying analytical tools/models to deliver data driven insights and solutions to optimize business performance

Job Specifications

• Bachelor's degree in quantitative field is required, Master's or PhD is preferred
• 8 years of professional experience or equivalent relevant work experience preferred
• Core Data Science Capabilities: Deep expertise in each of the following categories of skillsets is preferred

• Programming & Process automation: Experience with using file I/O, database integrations, and APIs to build automated analytics pipelines. Demonstrated experience using DevOps libraries to research and design processes including automation, data mining, web scraping, or object-oriented software is preferred. Experience engineering solutions using cloud platforms and exposure to scaling solutions in the cloud. Understands partnership with IT to deploy solutions. Demonstrated expertise at bringing analytics to scale

• Data Visualization: Demonstrates the ability to critically evaluate visualization suitability to specific scenarios.
• Statistics & Statistical Modeling: Expertise on statistical inference and regression. Expertise in machine learning, feature selection, and feature extraction. Demonstrated experience in leading multiple high-impact machine learning and analysis projects end-to-end

• Data Extraction, Transformation, and Loading skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Demonstrated through independent research of data sources, troubleshooting complex SQL queries, and leading partnerships with external data providers. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.
• Core business capabilities: Strong communication skills, expertise in financial services, strong experience leading engagements, and working with executive leadership. Strong project management skills; effectively and independently prioritizes and manages own projects simultaneously and provides direction on projects and prioritization to less experienced team members.
• Leadership Capabilities: Leader within their field, both internally and externally. Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise. Viewed as a leader in change management. Maintains depth of technical understanding of third party/cloud solutions.

• This position may have key leadership responsibilities, including:
• People Management: Actively participates in determining staffing needs of the team, including hiring and development. Leads assigned team in the completion of requested activities and projects.
• Analytics strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics.
• Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Deep expertise in their organization. Demonstrates ability to conduct independent research and development of techniques that may be shared internally and externally.

Principal Duties and Responsibilities

• Proactively partner with the business to provide actionable insights and identify growth opportunities; communicate analysis to obtain buy-in and drive decision making.
• 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.
• Build and maintain best practices for team's data science strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency.
• Prioritize and lead analytics projects
• Apply domain expertise to modeling process using state-of-the-art techniques to construct 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 business partners to influence strategic decision making.
• Lead the integration of solutions within existing business processes using automation techniques.
• Understand theory and application of current and emerging statistical methods and tools.
• Coaches, mentors and develops peers and/or team members.
• Perform other related duties as assigned.

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Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$103,600.00-$202,100.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including performance-based incentives, healthcare benefits, insurance benefits, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual plans.

Company:

Unum