
Sr. Data Scientist - Remote
- Minnetonka, MN
- $89,900-160,600 per year
- Permanent
- Full-time
- Learn data systems, sources, methodologies, logic, parameters, load times, lag considerations, data limitations, governance guidelines and any other data-related topics
- Use statistical and data science approaches to deliver timely and accurate insights and reporting
- Enhance efficiency and accuracy of data analytics and reporting
- Develop and share best practices in reporting and data analytics
- Collaborate and cross train team members as needed
- Provide recommended enhancements to processes and systems in place
- Use statistical and data science approaches to deliver timely and accurate insights and reporting
- Identify and develop high-impact insights and data models
- Lead data analysis and data quality assurance in collaboration with tool enablement team
- Work on complex projects and perform data analytics at a high level
- Keep up to date on industry trends, best practices and emerging methodologies in the fields of data science, statistics, and healthcare
- Present predictive model analysis to clients as needed
- Internal role – minimum to no travel
- Masters’ degree in data science, Biostatistics or related field
- 4+ years of experience in statistical modeling, data analysis, and predictive analytics
- Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies
- Proficient in statistical programming languages such as SQL, R, Python, SAS, and/or Stata
- Working knowledge of healthcare claims data analysis
- Excellent analytical, financial, and business acumen, with the ability to translate data into compelling business cases
- Demonstrated ability to work collaboratively in interdisciplinary and ambiguous environments
- Excellent written, verbal, and interpersonal communication skills
- Solid critical thinking and problem-solving abilities, both independently and in team settings
- Effective time management and multitasking skills across concurrent projects
- Proactive in seeking clarity by asking the right questions to ensure task accuracy