Data Science Consultant

Aflac, Incorporated•Columbus, GA
•$103,500 - $150,000•Hybrid

About The Position

We are the duck. We develop and empower our people, cultivate relationships, give back to our community, and celebrate every success along the way. We do it all…The Aflac Way. Aflac, a Fortune 500 company, is an industry leader in voluntary insurance products that pay cash directly to policyholders and one of America's best-known brands. Aflac has been recognized as Fortune’s 50 Best Workplaces for Diversity and as one of World’s Most Ethical Companies by Ethisphere.com. Our business is about being there for people in need. So, ask yourself, are you the duck? If so, there’s a home, and a flourishing career for you at Aflac.

Requirements

  • Advanced analytical skills including strong proficiency in programming languages like Python, R, and SQL.
  • Experience with machine learning frameworks and statistical tools; familiarity with cloud platforms AWS, Azure, Google Cloud.
  • Proficiency with data visualization tools like Tableau, Power BI, or similar.
  • Expertise in using advanced analytics techniques including predictive modeling, natural language processing or optimization.
  • Excellent presentation, oral, written, and interpersonal communications skills to effectively interact with all levels of management; ability to maintain professionalism.
  • Foundational knowledge of the operations of the business and the insurance industry.
  • Ability to collaborate with business unit customers, IT and other business partners, to deliver results.
  • Strong facilitation and project management skills.
  • Ability to work independently or in teams, often under tight deadlines.
  • Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Administration or a related field.
  • 4+ years of experience in data science, analytics/consulting
  • Demonstrated experience performing complex predictive and prescriptive business related analyses.
  • Or an equivalent combination of education and experience

Nice To Haves

  • Experience in delivering client-facing data projects.

Responsibilities

  • Performs prescriptive analysis using advanced mathematical techniques to computationally determine a set of beneficial alternative actions, or decisions given a complex set of objectives, requirements, and limitations, with the goal of improving business performance; performs predictive, diagnostic and descriptive analysis.
  • Performs organizational research by gathering, interpreting and comparing operational data to benchmarking/best practice data, identifies significant business issues, trends and opportunities and provides insights/recommendations to the organization.
  • Develops reporting and analysis frameworks for strategic initiatives.
  • Leads special projects requiring commensurate analytical expertise and the development of executive level presentations; to include identifying, defining, and implementing best-in-class analytical practices.
  • Assists with strategic efforts and business planning by gathering metrics, performing analysis, and creating deliverable tracking.
  • Meets with clients to understand their business goals, challenges, and data needs; translates client objectives into actionable data science projects.
  • Presents complex data findings and insights in a clear, non-technical manner to stakeholders.
  • Develops predictive models, machine learning algorithms, and statistical analyses to solve client-specific problems.
  • Design customized data-driven solutions, including predictive models, forecasting tools, or optimization strategies.
  • Provides guidance on best practices for data management, data quality and model deployment.
  • Collaborates with cross-functional teams to implement data science solutions in production environments.
  • Creates dashboards, visualizations, and reports using tolls like Tableau, Power Bi or other platforms to present insights clearly.
  • Communications data analysis results and actionable recommendations to both technical and non-technical stakeholders.
  • Manage end-to-end project lifecycles, ensuring projects are completed on time and within scope.
  • Coordinate with internal teams including software developers and other consultants to deliver comprehensive solutions.
  • Stay updated on industry trends and emerging technologies to offer innovative solutions to clients.
  • Performs other related duties as required.

Benefits

  • medical
  • dental
  • vision coverage
  • prescription drug coverage
  • health care flexible spending
  • dependent care flexible spending
  • Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
  • 401(k) plans
  • annual bonuses
  • opportunity to purchase company stock
  • 11 paid holidays
  • up to 20 days PTO
  • state-mandated sick leave
  • other leaves of absence
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