Lead Data Science Product Manager

Role Overview

• Engage senior and executive leadership to understand their most significant business challenges
• Design new AI products and solutions to automate or enable better decision making to address these challenges
• Build long-term product roadmaps
• Scale and deliver on those products by working within cross-functional data science, IT, and business teams
• Provide overall product leadership for one or more of our machine learning and AI initiatives

Requirements

• Bachelor 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 degree and 4 years of work experience in an advanced mathematical, statistical, engineering, physics 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 8 years of work experience in an advanced mathematical, statistical, engineering, physics or related quantitative field
• Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 6) understanding of healthcare.
• Strong learning and growth mindset
• Customer-focused
• Strong interpersonal, verbal and written communication skills
• A track record of independently delivering or leading the delivery of multiple complex analytics or data science projects

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
• other incentives