Job Description
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
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