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GoHealth’s mission is to improve access to healthcare in America. Data is at the core of how we make that happen. GoHealth is looking for a Data Scientist to join its Data Science and Advanced Analytics team. You will have the opportunity to use predictive modeling, machine learning, statistics and optimization techniques to solve complex problems across GoHealth’s business. Working on a team of experienced data scientists, you will learn from specialists in time-series forecasting, survival analysis, and optimization and have the chance to build and deploy end-to-end data science models that help GoHealth make decisions in real-time. Some current and recent projects include the modeling of customer retention, lifetime values of Medicare Advantage policies, call-center routing and lead scoring and agent decision support systems.

Frequently cited statistics show that women and underrepresented groups apply to jobs only if they meet 100% of the qualifications. GoHealth encourages you to break that statistic and to apply. No one ever meets 100% of the qualifications. We look forward to your application.


·      Develop predictive models and quantitative analyses, working with product management, business stakeholders, and data engineers to identify and solve business problems

·      Provide new and creative insights through a combination of descriptive and diagnostic analytics

·      Test hypotheses across functions using measurable, statistically-significant methods to evaluate best performing strategies. Use regression analysis, clustering and inference techniques to provide business recommendations

·      Maintain and improve our Machine Learning Deployment Pipeline on AWS SageMaker

·      Stay current with data analytics tools and techniques and methods for data science, machine learning, statistics and optimization

·      Understand GoHealth’s business processes, including the role each business unit plays in supporting the company’s ultimate objectives

Skills and Experience:

·      BS or BA degree in quantitative discipline such as Mathematics, Statistics, Operations Research, Computer Science, Economics or Engineering

·      Knowledge of statistics including regression, estimation and hypothesis testing

·      Experience with a data and analytics programming language such as Python, R, or MATLAB

·      Experience with Python packages NumPy, SciPy, pandas and scikit-learn

·      Familiarity with machine learning techniques

·      Preferred qualifications include familiarity with probabilistic modeling and optimization techniques including linear optimization, nonlinear optimization and network optimization

·      SQL experience in writing, editing and modifying complex, efficient SQL queries

·      Ability to communicate complex concepts verbally and in writing to colleagues with varying degrees of analytical knowledge and understanding

·      Experience extracting and standardizing inconsistent data from disparate data sources

Benefits & Perks:

·      Open vacation policy because work life balance is important

·      401k program with company match

·      Employee Stock Purchase Program

·      Medical, dental, vision, and life insurance benefits

·      Paid maternity and paternity leave

·      Professional growth opportunities

·      Generous employee referral bonuses

·      Employee Resource Groups

·      Work from Home Stipend

·      GoHealth is an Equal Opportunity Employer

Due to the unprecedented situation of COVID-19, GoHealth has decided to protect our current and future employees by managing our business remotely. This is inclusive of interviewing, on-boarding and each role day-to-day. Please consider that our roles will not be remote long-term and will return to an office setting once we’re safe to do so following the guidance of local health authorities’ and the CDC.