Job Description

Job Posting End Date: April 20

Unum is a company of people serving people. As one of the world's leading employee benefits providers and a Fortune 500 company, Unum's financial protection benefits help protect more than 36 million working people and their families from the financial impact of illness or injury. Unum's three distinct, but similarly focused US businesses Unum US, Colonial Life, and Starmount Life are each a market leader in making disability, life, accident, critical illness, dental, and vision insurance accessible in the workplace.

Headquartered in Chattanooga, Tennessee, Unum also has significant US operations in Portland, Maine, - and over 35 field offices nationwide. Colonial Life is headquartered in Columbia, South Carolina with over 40 field offices nationwide. Starmount Life is based in Baton Rouge, Louisiana, and is the dental and vision center of excellence for Unum in the US.

General Summary:

General Summary
This position for an experienced data scientist who is excited to transform data into actionable insights and solutions, and drive the business forward. The role requires significant technical expertise including programming, statistical proficiency and advanced data manipulation skills. This individual will continuously increase business knowledge with a consultant mindset approach and focus on identifying opportunities to improve our business outcomes. This individual will take initiative in designing and implementing data science solutions for supporting business priorities. Considerable reliance will be placed on the individuals judgment and ability to interact with business partners with a high degree of professionalism. This person will work directly with Actuaries in the areas of pricing, reserving and risk.

Principal Duties and Responsibilities

Leverage business expertise to design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value that contributes to the decision-making process.

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.

Uses broad range of techniques to construct predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. Appropriately applies domain expertise to modeling process.

Efficiently interpret results and communicate findings and potential value to influence manager leaders and business partners decisions.

Play a lead role in integrating solutions within existing business processes using automation techniques.

Understand theory and application of current and emerging statistical methods and tools.

Coaches, mentors and develops lower level Data Scientists.

Perform other related duties as assigned.

Job Specifications

* Bachelors degree in quantitative field is required, Masters or PhD in a quantitative field is preferred
* 6 years of professional experience or equivalent relevant work experience preferred
* Core Data Science Capabilities: Deep expertise in at least two of the following skillsets preferred; and basic capabilities in the other:
* Programming & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines. Process research and design, demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software is preferred. Experience engineering solutions using cloud platforms and exposure to scaling solutions in the cloud. Understands partnership with IT to deploy solutions.
* Experience using internal and external APIs. Experience with object-oriented development and database integrations (cloud and local). Experience partnering with engineering teams to bring processes to scale. Exposure to cloud platforms.
* Data Visualization: Expertise on multiple data visualization tools. Expertise in static and dynamic data visualization. Basic understanding of visualizations suitable for specific scenarios.
* Statistics & Statistical Modeling: Expertise using statistical inference and regression. Expertise in machine learning, feature selection, and feature extraction. Leads multiple end-to-end machine learning and analysis projects.
* Data Extraction, Transformation, and Loading Prefer: Expertise in writing complex SQL queries that join multiple tables/databases. Independently explores 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. Demonstrates ability to lead external data partnerships and represent Unums interests in discussions with external data constituents.
* Core business capabilities include strong communication skills and strong experience in financial services. Strong project management skills. Effectively and independently prioritizes and manages own projects simultaneously and provides direction on projects and prioritization to less experienced staff. Strong experience leading engagements and working with executive leadership.
* Leadership Capabilities: Actively coaches and mentors peers and team members, especially within areas of expertise. Responds quickly and positively to change and is viewed as a promoter of change management. Provides technical leadership and direction for data science initiatives, ensuring output conforms to agreed upon quality attributes
* Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Demonstrated expertise in their organization. Ability to conduct independent research and development for use internally and externally

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Our company is built on helping individuals and families, and this starts with our employees. We want employees to maintain a positive balance, which is why we provide access to the benefits and resources they need to invest in themselves. From our onsite fitness facilities and generous paid time off to employee professional development programs, we are committed to helping employees live and work their best both inside and outside the office.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

Company:

Unum