Senior Data Science Product Manager

Responsibilities

• Own one or more Data Science products that add business value.
• Work closely with customers to understand needs and translate them into data science products.
• Write technical requirements and prioritize product development.
• Coordinate with all interested stakeholders for product success.
• Promote usage and understanding of the product across a broad audience.
• Assist with data science and data engineering tasks as needed.

• Bachelors degree and 3 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 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• 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;
  5) distributed computing;
  6) understanding of healthcare.
• Independently delivering or leading the delivery of a complex analytics or data science project or product