This is remote but not preferred EST (CST and PST fine) , Healthcare experience with State or Federal is very desirable
Senior Data Scientist Responsibilities
• Analyze, process, and model data.
• Communicate results to inform actionable plans and organizational decisions.
• Exercise judgment in selecting appropriate analytical methods based on the question and supporting data.
• Translate analytical methods and findings for a lay audience.
• Understand dataset constraints and identify relevant data sources.
• Be fluent in one or more data manipulation programming languages (e.g., R, Python, Scala, etc.).
• Work with structured and unstructured datasets of varying sizes and complexity.
• Have experience in big data management and data mining.
• Organize, clean, and transform data into usable formats.
• Apply appropriate statistical models or algorithms.
• Automate data collection and preprocessing.
• Perform analysis, including ad-hoc analysis.
• Identify trends and patterns across large and multiple datasets.
• Answer specific analytical questions.
• Develop and validate hypotheses.
• Conduct exploratory data analysis (EDA).
• Create visualizations and charts to:
• Understand and communicate insights.
• Identify underlying data issues (e.g., missing data, poor quality).
• Present findings to key stakeholders.
• Demonstrate relevant domain knowledge.
• Develop, test, and implement predictive and machine-learning models.
• Use a mix of statistical and machine learning approaches.
• Manage and mentor junior data scientists.
• Provide leadership in introducing new methods and supporting infrastructure.
• Collaborate with:
• Data engineers
• Data modelers
• Business intelligence analysts
• IT staff
• Support setup of complex ongoing analyses feeding dashboards or other data products.
Experience Requirements
• Minimum of five (5) years of relevant experience in:
• Mathematical modeling
• Statistical analysis
• Machine learning
• A/B testing
• Data science in an applied context
• Experience using:
• Statistical programming languages
• SQL
• Other scripting and statistical tools
• Proficiency in one or more visualization tools.
Education Requirements
• Master s degree or higher in:
• Economics
• Statistics
• Math
• Engineering
• Science
• Social science
• Data science
• Other quantitative-focused field
• OR additional two (2) years of qualifying experience may substitute for required education,
• Along with demonstrated completion of training, bootcamps, or supplemental coursework in:
• Mathematical modeling
• Statistical analysis
• Machine learning methods