Staff Data Scientist - Product

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.
Experience with 0 to 1 product initiatives is a plus, though not required.
A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment.
Qualifications:

Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience.
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required.
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.
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.

Skills Required
Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field, or equivalent experience.
Strong experience in product analytics or similar data-focused role, with demonstrated impact on product strategy.
Deep experience with cohort analysis, time series analysis, and funnel analysis/optimization.
Expert-level proficiency with SQL, A/B testing, machine learning, and statistical analysis.
Proficiency with programming and analysis tools such as R, Python, SAS.
Experience building and maintaining reliable analytics infrastructures.
Experience with product analytics/event tracking tools (Amplitude, Heap, Mixpanel) and analyzing end-to-end journeys/funnels.
Excellent communication skills and ability to present insights to technical and non-technical stakeholders.
Experience with 0-to-1 product initiatives.
Experience supporting SaaS Product-Led Growth companies and recalibrating activation metrics (aha/habit moments).
Proficiency with Looker or similar BI/reporting tools.