Actuarial Data Manager leading and mentoring data analysts in health sector financial objectives and analyses. Overseeing data quality and assisting with financial forecasting and reserving.
NU
Hybrid Senior Data Scientist, Membership Analytics
Posted 2 months ago
About the role
- Senior Data Scientist leveraging data science for insights into member analytics and decision-making. Developing predictive models to create value and drive business optimization.
Responsibilities
- Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
- Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
- Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.
- Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Requirements
- 3-5 years of experience in exploratory data analysis
- Basic understanding of business and operating environment
- Statistics
- Programming, data modeling, simulation, and advanced mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Working knowledge of procedures, instructions, and validation techniques
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Sound Judgment
- Problem Solving (Responds as problems and issues are identified)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
- **Desired Qualification(s)**
- Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Benefits
- Highly competitive pay
- Generous benefits and perks
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