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Senior Data Scientist - Marketing Analytics - Hybrid

AT Unum Group
Unum Group

Senior Data Scientist - Marketing Analytics - Hybrid

Portland, ME

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

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*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 an experienced data scientist to join the Unum Marketing Analytics team. The ideal candidate is someone who is excited to transform data into actionable insights and impactful solutions which drive business results and improve the customer experience.

The role requires significant technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on increasing business knowledge. While some review by a manager is expected, this individual will take initiative in identifying and executing data science approaches to support business priorities.

Location: 2 days onsite per week at our Portland, ME, Chattanooga, TN, Columbia, SC or Atlanta (Sandy Springs), GA campus.

Job Specifications:

  • Education: Bachelor's in a quantitative field required; Master's or PhD preferred.
  • Experience: 6+ years of relevant professional experience preferred.
  • Technical Skills:
    • Programming & Automation: Expertise in building automated analytics pipelines using file I/O, databases, APIs, and cloud platforms. Experience with DevOps, data mining, web scraping, and object-oriented software preferred.
    • Data Visualization: Proficiency in multiple visualization tools, with expertise in static and dynamic visualizations.
    • Statistical Modeling: Strong knowledge of statistical inference, regression, machine learning, feature selection, and feature extraction. Experience leading end-to-end machine learning projects.
    • Data Processing (ETL): Expertise in SQL, integrating multiple data sources, and troubleshooting complex queries. Ability to create logical data models and manage external data partnerships.
  • Business & Leadership Skills:
    • Strong communication and project management abilities.
    • Experience in financial services preferred.
    • Ability to prioritize and manage multiple projects while guiding junior staff.
    • Experience working with executive leadership.
    • Coaching and mentoring team members.
    • Strong adaptability and change management skills.

Key Responsibilities:

  • Design and implement analytical solutions using optimization, simulation, and statistical methods to drive business decisions.
  • Integrate and process large datasets from multiple internal and external sources.
  • Construct predictive models to analyze trends, forecast behaviors, and assess risks.
  • Interpret and communicate findings effectively to influence decision-making.
  • Lead automation efforts to integrate solutions into business processes.
  • Stay current with emerging statistical methods and tools.
  • Mentor junior Data Scientists.

Preferred Qualities:

  • Entrepreneurial mindset, problem-solving skills, continuous learner, and industry knowledge in marketing or insurance.

#LI-TS1

#LI-MULTI

#LI-HYBRID

~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.
$89,400.00-$183,500.00

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:
Unum

Client-provided location(s): Portland, ME, USA
Job ID: Unum_Group-1770746006
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA With Employer Contribution
    • HSA With Employer Contribution
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Stock Purchase Program
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)