Founded in 1985, SelectQuote provides solutions that help consumers protect their most valuable assets: their families, health and property. The company pioneered the model of providing unbiased comparisons from multiple, highly rated insurance companies allowing consumers to choose the policy and terms that best meet their unique needs. Two foundational pillars underpin SelectQuote’s success: a strong force of highly trained and skilled agents, who provide consultative needs analysis for every consumer, and proprietary technology that sources and routes high-quality leads. The company has three core business lines: SelectQuote Senior, SelectQuote Life and SelectQuote Auto and Home. SelectQuote Senior, the largest and fastest-growing business, serves the needs of a demographic that sees 10,000 people turn 65 each day with a range of Medicare Advantage and Medicare Supplement plans.

Job Summary:

Responsible for the development of analytical tools and self-adjusting algorithms used for the automation of critical business functions. The position involves communicating data findings to both technology leaders and business managers to help the company overcome business challenges. The data scientist explores and analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage.

Essential Functions:

  • Maintain existing Data Science solutions while looking for opportunities to improve them
  • Lead complex projects and ensure their complete and accurate execution with emphasis on delivering business value
  • Identifies opportunities to collect new data to enhance the business value
  • Conducts statistical modeling and experiment design
  • Discovers “stories” told by the data
  • Tests and validates predictive models
  • Implements automated processes for efficiently producing scale models
  • Generates algorithms and creates self-adjusting computer models
  • Collaborates with database engineers and other scientists
  • Conducts scalable data research on and off the cloud

Knowledge, Skills and Abilities:

  • 3+ Years of experience in applying statistics, machine learning, algorithms development, predictive modeling and advanced mathematics to solve complex problems
  • 2+ Years of experience using R
  • 1+ Years of experience using Python
  • 3+ Years of SQL
  • Demonstrates excellent code writing abilities
  • Has strong critical thinking skills and the ability to relate them to the products or services the company is producing
  • Displays understanding of and ability to use programming languages like Python and SQL
  • Objectivity and openness to others views, providing solutions and creative input
  • Provides and welcomes feedback
  • Must be able to adjust when there is a shift in priorities
  • Excellent communicator with individuals and groups at all levels
  • Detail oriented, organized and able to manage user expectations
  • Good organizational, time management, and listening skills
  • Self-motivated

Training and Experiences

  • R
  • Python
  • Microsoft SQL server 2008 R2 or later
  • AWS Machine Learning
  • Master’s degree in a quantitative discipline such as Statistics, Mathematics, Economics, Physics, or Computer Science
  • Strong analytical skills


It’s an exciting time to join SelectQuote. We became a publicly traded company in 2020 with the first 100% virtual IPO (non-biotech) in American history. We have also been recognized nationally on the 2021 Top Workplaces USA list and by the Kansas City Business Journal as a 2020 Best Places to Work honoree.

Full-time employees are eligible for medical, dental, vision, voluntary short-term disability, company-paid long term disability, company-paid life insurance and accidental death & dismemberment (AD&D), 401(k) + company match and 100% vesting after 4 years, discretionary profit sharing, employee stock purchase program (espp), paid time off, floating holidays, paid maternity leave, paid parental bonding leave, tuition reimbursement, jury duty pay, work from home stipend, and other paid leaves vary based on work location.