Data Scientist I - People Analytics

Job Posting End Date: July 02

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 

*All the benefits listed above are subject to the terms of their individual Plans.

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:

Are you passionate about data analytics and thrive on answering difficult questions? Are you curious, adaptable, and detail-oriented? If so, we’d love to meet you.

We’re hiring a Data Scientist I to join our People Analytics & Reporting team—a full-stack analytics group that partners across the organization to deliver best-in-class reporting, employee surveys, and data-driven insights that fuel decision-making and drive change.

In this role, you’ll collaborate with our senior data scientist to build the next generation of advanced analytics and AI tools for HR. You’ll get hands-on experience with technologies like Alteryx, Python, R, SQL, APIs, and LLMs and apply your knowledge of statistics to solve real-world problems that matter.

If you love working with data, enjoy building things from the ground up, and want to make a meaningful impact through analytics—this is your opportunity.

Job Specifications

• Bachelor’s degree in quantitative field is preferred
• 2 years preferred of professional experience or equivalent relevant work experience
• Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others:
• Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping. 
• Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization
• Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests
• Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance.
• Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates
• Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output
• Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization.

Principal Duties and Responsibilities

• Design and execute analytical s