Sr. Data Scientist - Remote

About the Role

Key Responsibilities

• 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
• 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 data science, statistics, and healthcare
• Present predictive model analysis to clients as needed

Requirements

• 3+ 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
• 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
• Working knowledge of healthcare claims data analysis

Nice to Have

• Experience with healthcare claims data analysis
• Experience working remotely in a telecommuting environment

Qualifications

• Educational background implied by experience in data analysis and statistical modeling

Benefits & Perks

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Salary range from $89,800 to $160,600 annually
• Benefits and incentives subject to eligibility requirements