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
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
Benefits
Remote & in-person roles: Work from wherever you thrive, with all the tools and support you need to be successful.
Flexible time off: We don’t count vacation days. When you need a break, take it — no strings attached.
Competitive pay: We offer strong salaries, performance bonuses, and equity opportunities for most roles.
Office and learning stipend: Get support for your growth with stipends for books, courses, and home office setup.
Global healthcare coverage: Medical, dental, and vision benefits are available in the US, Canada, India, and other supported countries.
Mental health and coaching support: Access professional coaching and mental health resources for you and your dependents.- Experience with 0 to 1 product initiatives is a plus, though not required
Experience in building and maintaining reliable analytics infrastructures
Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data
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
Expertise in translating complex data into insights that are actionable for cross-functional teams
A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment
Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required
Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential
Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals
Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience
Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required
Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus
