Decision Scientist

Position Summary

• Develop, configure, and measure behavior change campaigns to improve participation for preventative and chronic screenings
• Partner with stakeholders to define the goals and performance metrics, recommend and develop data-driven analytical approaches, and execute the solutions required to make informed business decisions
• Build statistical models, predictive models, simulations, and other customized solutions using Python to solve complex business problems
• Process data from multiple sources via big data platforms (such as GCP) using SQL
• Design experiments and collaborate with engineering teams to configure the experiments to test and quantify the impact of business solutions
• Translate" technical concepts for non-technical audiences
• Collaborate with internal and external business partners to understand and solve business problems and communicate business solutions and/or analytical results to business stakeholders
• Develops and delivers data-driven presentations on analytical solutions and results

• 1+ years of experience in SQL working with big data platforms (e.g., AWS, GCP, Hadoop, etc.) and multiple data sources•
• 1+ years of experience in Python/R /SQL (Python is strongly preferred) to extract actionable insights from large and complex data sets and data visualization tools (e.g., Tableau, etc.)
• 1+ years of experience in statistical analysis, experiment design and evaluation
• 1+ years of experience creating communication materials (e.g., PowerPoint, etc.) and presenting to non-technical/analytics audiences

• 1+ years of experience in SQL working with big data platforms (e.g., AWS, GCP, Hadoop, etc.) and multiple data sources
• 1+ years of experience in Python/R /SQL (Python is strongly preferred) to extract actionable insights from large and complex data sets and data visualization tools (e.g., Tableau, etc.)
• 1+ years of experience in statistical analysis, experiment design and evaluation
• 1+ years of experience creating communication materials (e.g., PowerPoint, etc.) and presenting to non-technical/analytics audiences

• Bachelor's degree in quantitative field, or an equivalent combination of formal education and experience.
• Master's degree in quantitative field or MBA strongly preferred.