Data Scientist II - CX Analytics

When you join the team at Unum, you become part of an organization committed to helping you thrive. Our team works to provide employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. This starts with ensuring every team member enjoys opportunities to succeed both professionally and personally.

Benefits

• Award-winning culture with inclusion and diversity as a priority
• Performance-based incentive plans
• Competitive benefits package including:
  • Health, vision, and dental coverage
  • Short- and 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 benefits are subject to the terms of their individual Plans.

About the role

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience Organization. Our team leverages AI across development workflows and uses it to extract insights from both structured data and unstructured sources such as raw text. In this role, you will focus on executing applied data science work—running analyses, supporting experiments, and mining data to uncover drivers and patterns that inform how the business supports its customers. You will work across structured and unstructured data to answer complex business questions and contribute to larger analytical efforts that connect findings to outcomes across BI/reporting, operations, and value stream partners.

This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Responsibilities

• Design and execute analytical solutions using optimization, simulation, data mining, and other statistical methods with a focus on delivering actionable business value.
• Integrate large volumes 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 frameworks.
• 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.
• Provide support, training, and/or mentorship to lower-level Data Science peers.
• Perform other related duties as assigned.

Requirements

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

Skills

Core Data Science Capabilities

Deep expertise in at least two of the following skillsets is preferred, with competency in the others:

• Programming & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines. Understanding of process research and design, demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software.
• Data Visualization: Expertise in at least one visualization tool with working knowledge of others, including static and dynamic data visualization.
• Statistics & Statistical modeling: Expertise using statistical inference and regression. Solid understanding of machine learning algorithms, feature selection, and extraction. Ability to conduct end-to-end machine learning tasks from problem synthesis to model deployment.
• Data Extraction, Transformation, and Loading: Expertise in writing complex SQL queries that join multiple tables/databases. Ability to independently explore databases/tables to identify best data sources to solve business problems. Demonstrated ability to troubleshoot complex SQL queries with little guidance and create logical data models by combining data from multiple sources, including internal and external data.

Core Business Capabilities

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

Leadership Capabilities

• 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.

Preferred Characteristics

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

Pay

The base salary range for this position is $73,300.00 - $150,500.00. Actual pay will be based on skill, geographical location, and experience.

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive, including healthcare benefits (health, vision, dental), insurance benefits (short- and long-term disability), performance-based incentive plans, 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.