Data Scientist

Commitment to understanding customer needs and helping them achieve goals Creative mindset with a passion for tackling challenging problems with data Ability to collaborate with diverse users and internal teams Strong communication skills: verbal, code, visualizations, and maps Strong foundation in machine learning, data modeling, and predictive analytics Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred Comfort working in a dynamic environment with evolving priorities and customer needs Proficiency in Python and associated data science technologies Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools Expertise in SQL or NoSQL databases preferred 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field Experience with more than one company size or business stage preferred Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases Provide guidance for proposals on feasibility of scope and how to ensure impact Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform Engage with customer users to provide informal support, tips, and troubleshooting Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans Participate in reviews with customers to document and improve measurable impact Provide feedback to Product and Sales teams to align offerings with customer needs Follow advancements in data science, machine learning, and healthcare analytics