Data Scientist I - CX Analytics

Unum is an employee benefits and service solutions company committed to helping employees and customers thrive. The Data Scientist I will apply data science, analytics, and AI to transform structured and unstructured data into actionable insights, conduct analyses, support experiments, identify trends, and address complex business questions. The role partners with BI Analysts, Data Engineers, and business stakeholders to support data-driven decision-making and improve customer and business outcomes.

What you'll do:

• Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value
• Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses
• Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework
• Construct predictive models using machine learning 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 manager
• Support integration of solutions within existing business processes using automation techniques
• Understand theory and application of current and emerging statistical methods and tools
• Perform other related duties as assigned

What they're looking for:

• Basic capability in the others
• 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
• Working knowledge of two or more data visualization tools and proficiency in static data visualization
• Basic understanding of dynamic data visualization
• 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
• Expertise in writing complex SQL queries that join multiple tables/databases
• Given a business problem, independently explore databases/tables to identify best data sources

Benefits:

• Award-winning culture
• Inclusion and diversity as a priority
• Performance Based Incentive Plans
• 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