Lead Data Scientist
About The Position
This position is responsible for providing advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems; performing complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts; constructing predictive models, algorithms and probability engines to support data analysis or product functions; verifying model and algorithm effectiveness based on real-world results; designing experiments and methodologies to generate and collect data for business use. Responsible for aiding tactical decision making by using predictive and prescriptive remodeling; and extracting actionable insights by identifying patterns in structured and unstructured data.
Requirements
- Bachelor’s degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master’s degree and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 9 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
- Strong learning and growth mindset
- Customer focus
- Strong interpersonal, verbal and written communication skills.
- Proficiency in at least five of the following six areas, and demonstrated mastery in at least one: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
- A track record of independently delivering or leading the delivery of a complex analytics or data science project.
- A track record of mentoring, managing, or leading junior analytics or data science staff.
Nice To Haves
- Masters or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.
Responsibilities
- Providing advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems
- Performing complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts
- Constructing predictive models, algorithms and probability engines to support data analysis or product functions
- Verifying model and algorithm effectiveness based on real-world results
- Designing experiments and methodologies to generate and collect data for business use
- Aiding tactical decision making by using predictive and prescriptive remodeling
- Extracting actionable insights by identifying patterns in structured and unstructured data
- Mentoring, managing, or leading junior analytics or data science staff
Benefits
- health and wellness benefits
- 401(k) savings plan
- pension plan
- paid time off
- paid parental leave
- disability insurance
- supplemental life insurance
- employee assistance program
- paid holidays
- tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
