Data Scientist I

Job Posting End Date: August 31 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: General Summary This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects. Principal Duties and Responsibilities • 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 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