Associate Data Scientist (Population Health)

Responsible for receiving, informing, and executing projects that entail the entire scope of the data science pipeline, including integrating disparate data, developing statistical models, and designing report distribution. This position will lead and support interdisciplinary collaboration to identify opportunities and deploy adaptive analytic strategies.

What You Will Do

Lead discovery and requirements gathering, co-create advanced analytics, research and design statistical models, develop and deploy innovative analytic solutions, and visualize data in creative ways.

Why It Might Be a Fit

Must have experience with statistics, geospatial analytics, business intelligence development, report automation, and applied ETL development, as well as experience working with complex analytic situations or big data environments.

Requirements

• Bachelor's Degree in Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative of Social Science discipline
• less than 1 year working with complex analytic situations or big data environments
• Experience with statistics, geospatial analytics or business intelligence development, report automation, and applied ETL development
• Experience with at least 1 advanced programming method (e.g. Python, R, etc.)
• Experience with relational databases and SQL queries
• Experience in data visualization and ability to communicate results to a non-technical audience
• Experience providing insights to executive stakeholders
• Experience managing collaborative data science projects
• Experience providing analytics that have a major impact on company's strategic imperatives and business results
• At least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2)
• SQL/complex SQL queries
• Knowledge of Microsoft Azure
• Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members
• Optimistic, self-directed performer capable of complex decision making and communication
• Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
• Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans
• Working knowledge of emerging technology platforms
• Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Paid time off
• Holidays
• Life insurance
• Disability insurance