Job Listings

Senior Data Scientist (Hybrid)

3700 S. Stonebridge Dr., McKinney, Texas
Job number: 14664

Job Description:

Senior Data Scientist (Hybrid)

Primary Duties & Responsibilities

Support high level objectives for acquisition, retention, cross-selling, and profitability by identifying, designing, and implementing advanced analytic projects utilizing techniques in statistical modeling and machine learning. Responsible for end-to-end process i.e., strategy to deployment and reporting. Creating a business solution with a holistic view and find effective ways to achieve the end goals.

Primary Duties & Responsibilities


  • Implement machine learning and data mining algorithms to build predictive models and reveal insights about our businesses and our customers.
  • Perform complex analyses of target markets and customer behavior.
  • Provide analytic and strategic support to address key questions across a portfolio of businesses.
  • Collect, organize, manipulate, and analyze a wide variety of data (Utilizing SQL, SAS, Python, R, Sagemaker and similar software).
  • Perform clustering and/or segmentation analysis.
  • Design deployment strategies for effective campaign mailing selection processes.
  • Develop effective methods to track, visualize and report model performance to re-strategize future modeling.
  • Build dashboards and infographics on marketing campaign performance to help executives in strategic decision making.
  • Collaborate with the database marketing personnel in the deployment of the models built and in the overall development and refinement of the database marketing strategy.
  • Perform and interpret data studies and product experiments pertaining to new data sources or new uses for existing data sources.
  • Develop prototypes, proof of concepts, algorithms and custom analyses.
  • Research and apply knowledge of emerging data science principles, theories and techniques to make informed business decisions.
  • Mentor team members and take initiative to conceptualize, develop and deploy modeling projects.
  • Leverage AWS Sagemaker, Sagemaker Studio, R, Python, SAS to train and optimize predictive models
  • Build MLOps pipelines and CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools.




Required Skills

  • Able to deliver a Machine Learning project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
  • Experience using tools for machine learning (Python, R, Sagemaker, Pandas, Scikit-learn, Jupyter, SAS etc.) and visualization (Tableau, Quicksight) a must.
  • Intermediate level of experience in database querying (SQL, AWS Data service tools like Glue, Redshift, and Athena).
  • Strong understanding of machine learning algorithms a must.
  • Efficient feature engineering and selection (i.e., data manipulation, variable derivation, transformation, data classification)
  • Experience in cloud-based data science eco-systems in AWS for development and deployment of models along with corresponding native data science tools like AWS SageMaker to build and scale ML pipelines
  • Understanding of Customer Relationship Management theory and practice, including an understanding of segmentation, response modeling, and attrition modeling.
  • Experience with developing MLOps pipelines for machine learning projects.
  • Exposure to cloud computing services such as AWS preferred.
  • Exposure to project management and version control software such as Git/SVN.
  • Experience with productionizing ML or predictive analytics models at scale.
  • Certified in Data Analytics/Machine Learning/Cloud Practitioner with AWS or any similar cloud service is preferred.

Applicable to all employees of Globe Life & Accident and its subsidiaries:

  • Reliable and predictable attendance of your assigned shift
  • Ability to work full time and/or part time based on the position specifications.

Required Knowledge & Experience

Education & Work Experience required

  • Master’s degree in Statistics, Data Science, Analytics, Computer Science or Mathematics or a related field and 3 years of data science experience OR Bachelor’s degree in Statistics, Data Science, Analytics, Computer Science or Mathematics or a related field and 8 years of data science experience

Location: 3700 S. Stonebridge Dr., McKinney, Texas

Apply Now

Current employees apply here.

Savings and Investment Plan (401K) - Eligible employees may begin participating in the plan on the first day of employment.

Pension Plan - Eligible employees who complete one year of service with the Company become participants in the Pension.* (Not available to Cleveland Employees)

Medical - Benefits are available to all eligible employees and qualified dependents the first of the month following 30 days of continuous service.

Dental** and Vision - Eligible employees and qualified dependents are able to enroll the first of the month following 30 days of continuous service.

Flexible Spending Accounts (FSA) - Our FSA has two components, Health Care and Dependent Care Accounts. These accounts allow employees to set aside a portion of their earnings on a pre-tax basis to cover out-of-pocket medical and dependent care expenses. Participation is elected on a calendar year basis and is available to all eligible employees the first of the month following the completion of 30 days of continuous service.

Health Savings Accounts (HSA) - A pre-tax Health Spending Account (HSA) is offered to those who enroll in the High Deductible Plan. It allows you to pay for health care expenses. Participation is elected on a calendar year basis and is available to all eligible employees the first of the month following the completion of 30 days of continuous service. Company contributes to HSA.

Short-Term Disability - Eligible employees may be entitled to salary continuance during periods of temporary disability. Benefits are based on employee status and years of service.*

Group Life and Long-Term Disability** - Eligible employees may elect life insurance and long-term disability coverage the first of the month following 30 days of continuous service.

Vacation and Paid Holidays - Employees are eligible for vacation upon the completion of six months of employment. In addition, the Company offers eight paid holidays.

Education Assistance - The Company supports employees who wish to continue their education to secure increased responsibility and growth within their professional careers. We offer a reimbursement program for expenses incurred through approved institutions of learning. In addition, Fellow, Life Management Institute (FLMI) and International Claim Association (ICA) program courses are offered after the completion of six months of services at no cost to the employee.

Fitness Reimbursement - Eligible employees are able to receive up to 100% reimbursement for monthly dues (employee only).

Supplemental Plans** - Cancer, Heart/Stroke, Accident.

*Please note, some benefits may vary by subsidiary. Please be sure to clarify with the Human Resources Department.
**Company paid benefit

Do I have to apply for every job that I am interested in? - Yes. Though our Talent Acquisition Team searches our database for qualified candidates, the only way to ensure that we know what position is of interest to you is if you apply for it directly.

Now that I've applied, what happens? - You will receive an immediate response from our system. Someone from our Talent Acquisition Team will review your qualifications and skills. If you're a good fit, we'll contact you to conduct an initial interview by phone, followed by assessment testing and an in person interview(s).

How do I get the contact information of the hiring manager for the job I am interested in? - It is our policy not to give contact information to external applicants. If, after you apply, it is determined that your skills and qualifications match our hiring needs, you will be contacted directly for an interview by someone on our Talent Acquisition Team.

I've been interviewed, what's next? - If selected, we'll extend a conditional offer. Then, pending a successful background check and drug screen, we'll confirm a start date.

The Whole Globe

Globe Not only is it in our name, it’s in our hearts. Our Company thrives off of diversity and has created a culture focused on inclusivity. These two components are the pillars of our foundation and the guiding principles that build our employees and leaders.

No Ceiling

SmileThe insurance industry may be traditional, but Globe Life has been, is, and always will be dedicated to building an inclusive, sustainable, and inspiring environment that does not have a ceiling on growth.