Globe Life And Accident Insurance Company is Hiring a Data Science Specialist II (Hybrid) Near Mc Kinney, TX
Job Details
Job Description: Data Science Specialist II (Hybrid) Primary Duties & Responsibilities JOB SUMMARY: Experience what being part of the Globe Life family feels like. Be inspired by your leaders, encouraged, and cheered on by your teammates to excel and be supported in your career while working with us. We offer a competitive salary with a great benefits package, including 401(K) match, medical, dental, and vision health plans, short - term and long-term disability, paid time off, tuition reimbursement and other career development opportunities. The Actuarial Department is responsible for supporting and enhancing sustainable growth of both sales and profits while managing the risks and safeguarding the solvency of Globe Life. Actuaries are involved in life and health insurance product design, development, pricing and implementation, and are instrumental in the ongoing financial management of the enterprise. This position reports to the Manager of Data Science within the Actuarial department and is responsible for a full range of activities related to data analysis, modeling, planning, development, deployment, and support of new and existing projects impacting multiple businesses units and business processes. PRIMARY DUTIES & REPONSIBILITIES:
Models:
Designs, develops, and implements predictive models and monitoring tools
Applies mathematical, statistical, and quantitative techniques to draw conclusions, make recommendations, and drive change
Performs and helps guide clustering and / or segmentation analysis
Data / Analysis:
Aids in identifying and utilizing new data sources (data exploring, cleaning, and wrangling)
Maintains and shares knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, BI tools, or other analysis software
Projects:
Understands the business direction and follows the Data Science COE roadmaps and priorities to influence business and drive improvements
Manages personal time and assists others to ensure projects are completed and delivered on time
Outlines, performs, and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, prototypes, validation, documentation and presentation of findings and recommendations
Adheres to risk and compliance policies, standards, and procedures for business activities
Collaboration / Communication:
Collaborates with team members, business stakeholders, and subject matter experts to understand data needs and assist in and identify areas where data science can drive value
Communicates project progress, updates, and results to stakeholders and leadership on a regular basis
Required Skills KNOWLEDGE, SKILLS, & ABILITIES:
Communication:
Effective communication skills, including the ability to explain complex technical concepts to non-technical stakeholders with data, dashboards, and visualizations
Modeling:
Expert skills in mathematical and statistical techniques to foster fact-based decision-making
Efficient feature engineering and selection (i.e., data manipulation, variable derivation, transformation, data classification)
Aware of data governance and data management practices
Development:
A passion to learn, assist others, build relationships, and a growth mindset.
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:
Education:
Bachelor's degree or equivalent experience in a relevant field such as Economics, Statistics, Mathematics, Actuarial Science, and/or Data Science
Industry:
Experience working in the insurance industry, or a related field, is preferred
Familiarity with data privacy and security regulations
Languages / Tools / Environments:
Experience with many of the following categories is preferred:
Programming / scripting languages (e.g., Python, R)