Senior Product Data Scientist
KakeAbout the role
Summary
We're looking for a Product Data Scientist who is deeply focused on understanding user behavior and driving product decision-making through experimentation. This person will work closely with product managers, engineers, and design to identify opportunities, run structured A/B tests, and uncover insights that directly influence the product roadmap. The ideal candidate is comfortable owning experiments end-to-end — from hypothesis to rollout — and translating complex data into clear direction for the product team.
Key Responsibilities
Analyze user behavior patterns, product usage flows, drop-offs, and engagement trends
Design, execute, and evaluate A/B tests and other experimentation frameworks to validate product decisions
Partner with product teams to define key metrics, success criteria, and hypotheses for upcoming features
Build dashboards and self-serve tools that help the product team understand the health of the product
Work with data engineers to ensure clean, reliable, and accessible data for analysis
Translate complex findings into clear, actionable insights for stakeholders
Core Requirements
Strong experience with A/B testing, experiment design, hypothesis testing, and interpreting experiment results
Solid skills in SQL and Python for data manipulation and analysis
Experience working with data warehousing and workflow tools (Snowflake, Airflow, Superset, Eppo, etc.)
Background in product analytics or product-facing data science roles
Ability to communicate insights clearly and influence product strategy using data
Excellent written and verbal communication skills in English
Ability to work independently in a remote, fast-paced environment
Additional
Latin America Timezone Overlap: 7h of daily overlap with GMT-3 required
They are looking for a solid Product Data Scientist. A similar background to Matheus Rabetti. Really important that this person has an ownership mindset and a want/willingness to go beyond assigned tasks to look outside of it for areas of improvement. Strong communication skills is also important. This team is based around Germany's time zone so the person will need to overlap at least 6 hours with that. Interview process: SQL/Python Technical Interview, Hiring Manager Interview, Product Case Study Interview Previous JD: - Strong foundation in Data Science with extensive experience in research and experimentation to assess impact, drive product improvements, and support data-driven decision-making. - Expertise in statistics, A/B testing, and experiment design, with a track record of translating insights into actionable product recommendations. - Product-focused data science background—comfortable with strategic recommendations, collaborating closely with Product Managers, and effectively communicating insights to both technical and non-technical stakeholders. - Strong in Python and SQL for data manipulation, analysis, and report building. Nice to have: - Familiarity with tools like Snowflake, Superset, Eppo, and Airflow to enhance data infrastructure and support seamless experimentation workflows. Other Traits: - Highly motivated and effective at communicating insights with diverse cross-functional teams. - Skilled at understanding and translating complex data into user-centric, growth-focused recommendations. - Demonstrated ability to thrive in fast-paced environments, ideally with experience in consumer tech or other high-growth product-driven settings. - English fluency and great communication skills. - Previous experience working in a remote environment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Up to $50, but let me know if you feel someone is a solid fit and is a bit more
Responsibilities
- Analyze user behavior patterns, product usage flows, drop-offs, and engagement trends
- Design, execute, and evaluate A/B tests and other experimentation frameworks to validate product decisions
- Partner with product teams to define key metrics, success criteria, and hypotheses for upcoming features
- Build dashboards and self-serve tools that help the product team understand the health of the product
- Work with data engineers to ensure clean, reliable, and accessible data for analysis
- Translate complex findings into clear, actionable insights for stakeholders
Qualifications
- Strong experience with A/B testing, experiment design, hypothesis testing, and interpreting experiment results
- Solid skills in SQL and Python for data manipulation and analysis
- Experience working with data warehousing and workflow tools (Snowflake, Airflow, Superset, Eppo, etc.)
- Background in product analytics or product-facing data science roles
- Ability to communicate insights clearly and influence product strategy using data
- Excellent written and verbal communication skills in English
- Ability to work independently in a remote, fast-paced environment
Skills mentioned
About Kake
Life is Better with Kake! Kake offers premier teams of AI-specialized digital builders to support some of the world's most prominent and innovative brands. Whatever layer of digital support you need, we’ve got you covered. Kake’s approach: Our Team is Your Team. Kake team members are ready to integrate seamlessly into yours and accelerate any project. We are 100% dedicated and committed to our partners’ long-term success and ready to support their needs to quickly scale in a broad spectrum of backgrounds and skill sets. Kake is a remote-first company with a community spanning the globe, fully believing that - it’s not where your table is but what you bring to the table that matters. Our approach and feedback have proven that we are not simply a stop along the way in an engineer’s career but the destination. We are proud to have fostered an environment that supports and retains high-caliber team members through our defined culture, initiatives, and investment in each individual. We truly believe that sharing our core values of growth, collaboration, and social impact is just as important as technical ability and acumen. Through initiatives like Compassion is Badass (supporting boots-on-the-ground social impact causes in our local communities) and our Better Me fund (an annual stipend to use to better oneself both personally and professionally), Kake aspires to inspire. Kake is ideally positioned to actively shape how companies can foster their business growth in the digital age and provide valuable support to ensure they do so effectively with the right team.