Sr. Data Scientist (Product Analytics)

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Requirements:

• 7+ years of experience in an analytical role
• A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning
• An analytical attitude and passion for finding opportunities and insights within data
• Understanding of statistical methods for research and experimentation purposes
• Strong presentation and project management skills
• Experience collaborating with product, design, and engineering teams
• SQL and Python expertise is a must-have

Responsibilities:

• Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data
• Drive and influence data focused decision making on product teams to move metrics and improve the patient experience
• Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics
• Analyze, measure, and track the performance and success of product features
• Identify data insights and recommendations for product teams to act and iterate on
• Ideate, design, and evaluate product experiments
• Build dashboards and visualizations to democratize data insights
• Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization
• Proactively determine areas where Data Science can help add strategic value
• Lead new team initiatives to help the Data Science team grow and scale
• Think from the perspective of a user and develop expert intuition of Cedar’s data models and product
• Mentor and upskill other team members by providing thoughtful and thorough feedback to uphold the high standards of data analyses on our team