Data Scientist II - Disability Enrollment Analytics

at  Unum

Chattanooga, TN 37402, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate18 Jan, 2025USD 73300 Annual19 Oct, 20244 year(s) or aboveGood communication skillsNoNo
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Description:

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:

We are seeking a skilled and motivated Data Scientist II who is passionate about turning complex data into actionable insights that drive business impact.
In this role, you will leverage your technical expertise in programming, applied statistics, and data manipulation to create innovative solutions that address key business challenges. You will be expected to develop a deep understanding of the business while using your analytical skills to deliver insights that support strategic decision-making. While some guidance from a manager will be provided, this role requires a proactive approach, with the ability to independently identify opportunities and execute data science strategies to meet business goals.
This is a hybrid position that requires a minimum of 2 onsite days per week.
Locations: Chattanooga TN or Portland, ME.
NOTE: Existing remote employees and field-based employees are eligible to apply.

CORE DATA SCIENCE CAPABILITIES:

  • 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.

CORE BUSINESS CAPABILITIES:

  • Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and 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

#LI-MULTI

~IN1
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$73,300.00-$150,500.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & 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. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unu

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 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

    LI-AD1


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Quantitative field is required

Proficient

1

Chattanooga, TN 37402, USA