Staff Data Scientist - Product

Position Overview:

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment.

What You’ll Do:

• Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products.
• Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions.
• Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions.
• Establish and maintain best practices for data collection, analysis, and reporting.
• Deliver actionable insights and recommendations focused on landing tangible product impact.
• Help foster a culture of data-driven decision-making and continuous improvement within the product teams.
• Ensure the integrity and accuracy of the data used for analysis and reporting.
• While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable.

What You Bring:

• Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data.
• Expertise in translating complex data into insights that are actionable for cross-functional teams.
• Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience.
• Experience in building and maintaining reliable analytics infrastructures.
• Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders.