Remote Data Scientist

Job Description

Sharecare is the leading digital health company that helps people unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. At Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone.

Job Summary

Sharecare is searching for a Data Scientist/Statistician who will support our product, delivery, sales, leadership, and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and media delivery process optimization and using models to identify target audiences. The Sharecare Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. He/she must have a proven ability to understand business requirements, applying data analysis techniques to uncover opportunities that drive business results with data-based insights. He/she must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large disparate data sets and working with stakeholders to improve business outcomes.

Essential Functions

• Formulates efforts for guided, multifaceted analytic studies against large volumes of data.
• Interprets and analyzes data using exploratory mathematic ML/statistical techniques based on the scientific method.
• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employs programming to clean, massage, and organize the data.
• Develops and designs experiments against data points to provide information based on experiment results to uncover new solutions to data challenges.
• Works with cross-functional teams including Data Engineers to establish requirements for and/or build data environments for modeling.
• Works closely with all business units and engineering teams to develop strategy for long-term data platform architecture.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and media campaign optimization strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Lead efforts to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Develop and mentor data team to support Life Sciences team needs.

Qualifications

• Master’s degree in operations research, Industrial Engineering, Applied Mathematics, Statistics, Economics, Computer Science, or related fields.
• Fluency in statistics/statistical methods.
• 4+ years of professional experience.
• Proficient with one or more ML/statistical languages (Python, R, SAS, etc.).
• Demonstrated experience applying data science methods to real-world data problems.
• Experience utilizing visualization tools to take advantage of the growing volume of available information.
• Ability to multitask, manage tight deadlines, and work effectively with cross-functional teams in an ever-changing and exciting environment.
• Ability to interpret results and apply to business problems.
• Strong communication skills (written and verbal) with a results-oriented mindset.
• Experience with digital media preferred.
• Experience in the pharmaceutical industry a plus.

Sharecare and its subsidiaries are Equal Opportunity Employers and E-Verify users. Qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, sexual orientation, gender identity, religion, age, equal pay, disability, genetic information, protected veteran status, or other status protected under applicable law.