Data Scientist II - Gen AI/Python/AWS/SQL

Unum Group•Chattanooga, TN
•Hybrid

About The Position

Join Unum's innovation hub as a Data Scientist II, where you will solve high-impact business challenges using machine learning, generative AI, and advanced analytics. This role involves developing proof-of-concept solutions, building and deploying AI models, and collaborating with stakeholders across the enterprise to transform complex data into actionable insights. You will work in a fast-paced, agile environment that fosters experimentation, continuous learning, and the application of emerging technologies to create measurable business value.

Requirements

  • Bachelor’s degree in quantitative field is required
  • 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.
  • Data Extraction, Transformation, and Loading: 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
  • 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.

Nice To Haves

  • Master’s is preferred
  • Experience with DB2, SQL Server, Web API and Teradata
  • Experience in financial services
  • Leadership experience working with senior management and executive leadership

Responsibilities

  • Develop and evaluate machine learning and generative AI solutions
  • Build proof-of-concept applications to address business needs
  • Partner with cross-functional teams to identify opportunities and deliver insights
  • Apply advanced analytics to support strategic decision-making
  • Contribute to a culture of innovation and continuous improvement
  • 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

Benefits

  • 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
  • Healthcare benefits (health, vision, dental)
  • Insurance benefits (short & long-term disability)
  • Performance-based incentive plans
  • Paid time off
  • 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.
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