Aflac

Senior Data Science Consultant

Aflac

full-time

Posted on:

Origin:  • 🇺🇸 United States • South Carolina

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Salary

💰 $120,000 - $160,000 per year

Job Level

Senior

Tech Stack

ETLPythonSQL

About the role

  • Design, build, implement, and monitor predictive models across US Aflac business use cases
  • Collaborate and/or lead cross-functional data science projects to ensure value is delivered for business customers
  • Lead and execute complex cross-divisional analytical projects including resource, process, and technology needs
  • Design, develop, deploy, and monitor solutions integrated with the business; analyze large datasets to identify trends, patterns, and actionable insights
  • Develop predictive models and algorithms to support decision-making and optimize business processes
  • Develop and refine understanding of multiple business domains
  • Assist in design of solutions for the data science team; mentor junior team members and provide technical guidance
  • Develop processes to transform extracted source data to target state; write data cleansing functions and merge data from multiple sources
  • Lead special projects and develop executive level presentations; identify and implement best-in-class analytical practices
  • Stay updated with latest advancements in data science, AI, and analytics
  • Lead and assist with development and training of analysts in other internal business areas
  • Perform other duties as needed

Requirements

  • Ability to inspire and guide cross-functional teams
  • Experience with object-oriented function scripting languages: Python, R, etc.
  • Skilled in motivating and encouraging team members
  • Strong mentoring skills to develop junior team members
  • Exceptional ability to translate complex data findings for technical and non-technical stakeholders
  • Excellent presentation skills and data storytelling
  • Strategic thinker with attention to detail
  • Excellent presentation, oral, written, and interpersonal communications skills
  • Ability to handle feedback constructively and manage stress
  • Experience and understanding of multiple programming languages including SQL and ETL
  • Proficiency in statistical techniques for data analysis and interpretation
  • Advanced knowledge of supervised/unsupervised machine learning algorithms
  • Experience in data cleaning, transformation, and preprocessing techniques
  • Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, Business Administration or related field (required)
  • 5+ years (preferred) of experience in data science, analytics/consulting OR equivalent combination of education and experience
  • Master’s Degree (preferred)
  • 3 or more years job-related experience that demonstrates successful data, programming, and analytics work driving business outcomes (preferred)
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