Senior Data Scientist
New
K
KYROSActuarial consulting
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of professional experience in a data science, data engineering, or analytically focused role
- Required Skills
- PythonSQLMachine LearningData engineeringMicrosoft ExcelData visualizationPySpark
Requirements
- Have at least 5 years of professional experience in a data science, data engineering, or analytically focused role.
- Hold a bachelor’s or master’s degree in mathematics, economics, bioinformatics, statistics, engineering, computer science, actuarial science, or another quantitative field.
- Demonstrate hands-on experience using Python and/or PySpark to clean, transform, and manipulate large, complex datasets.
- Have strong Python and/or PySpark expertise and strong SQL expertise.
- Be able to build and maintain production-quality analytical workflows.
- Have advanced Excel skills.
- Connect technical work to business goals and understand what results mean for the client.
- Be familiar with predictive modeling techniques used in actuarial, data science, or predictive analytics roles.
- Clearly explain modeling approaches, assumptions, and results to technical and non-technical audiences.
Responsibilities
- Work with clients to define data requirements and build pipelines that ingest and transform raw loyalty program data into clean, structured datasets.
- Design, build, and evaluate predictive models, making decisions about feature engineering, methodology, and trade-offs.
- Turn client business problems into end-to-end data science workflows.
- Synthesize model results into clear explanations that help non-technical clients make business decisions.
- Handle ad hoc client questions and one-off analyses.
- Develop new solutions and approaches and contribute to the evolution of the analytics platform.
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