The company is looking to support decision-making and drive business impact by applying optimization and statistical methods on a variety of data.
Requirements
- Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, causal inference, and pattern detection
- Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
- Experience with programming languages (Python, PySpark, Scala and/or Spark SQL)
- Experience with graph database managing clinical concept is a big plus
- Experience in prompt engineering and context optimization with LLM
- Experience with data visualization tools such as Tableau and Kibana, preferred
- Experience with Amazon AWS cloud platform, deep learning models (e.g., transformers), LLM, and unstructured healthcare data are a plus
Responsibilities
- Drive strategic data science initiatives that directly impact the product roadmap and business outcomes
- Independently lead in-depth analyses of a variety of healthcare and product data sources to enable data-driven decision-making
- Design and conduct causal inference analyses using healthcare claims, EHR and similar data
- Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making
- Mentor junior data scientists in development and statistical best practices, conduct code reviews, and communication with non-technical audiences
- Present information using data visualization techniques and propose solutions and strategies to business challenges
- Take ownership of data science milestones, requirements gathering and identify risks and opportunities with various data sources
Other
- 5+ years hands-on data science experience at a company where health outcomes were critical to the mission
- Demonstrated leadership experience in healthcare data science with a track record of influencing product strategy and business outcomes
- MSc or higher degree in a data science/analytics, statistics, mathematics, engineering related field
- Strong communication skills with the unique ability to translate business needs from stakeholders into data science technical requirements and translate data science results back to business and clinical units
- About 5% travel required
- Fully remote opportunity
