Job Description
Key Skills Required
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Key Responsibilities
Product Analysis:
- Answer insightful analysis questions from stakeholders across the Product org
- Be able to ramp up on how different parts of the product & data model function, to pull accurate results
- Partner with PMs and Engineers to design key metrics for different initiatives
Experiment Analysis:
- Be the “stats expert” alongside PMs to ensure the design of effective experiments
- Understand and be able to intuitively explain concepts like power & sample size
- Analyze experiment results to determine what is statistically significant, being able to take into account common pitfalls and “p-hacking” that can happen with A/B testing
- Specific Deliverables (First 3-6 months):
- Ramp up on a particular product area and start answering ad hoc insight questions from there
- Design an experiment (with another Product DS there to mentor), see it launch, and then analyze it
- Give feedback on new team processes and come up with an idea to iterate / make a new one
Must Have Skills:
- 3 - 5 years of experience as a data scientist, in a product-focused environment
- Strong proficiency in SQL and a solid understanding of data modeling concepts
- Proficiency with Python, ideally data analysis/science packages like Pandas and Stats
- Good “Data storytelling” and stakeholder communication: can explain technical concepts in an intuitive way
- Detail-oriented: can sense-check your output and correct errors before sharing results with stakeholders
- A good product-sense and familiarity with fundamental “product” metrics (like DAU, retention, etc)
- General understanding of machine learning, and how to make and evaluation models
🚀 Don’t meet every single requirement? Apply anyway! At our core, we value growth, adaptability, and passion just as much as a checklist of skills. If you are excited about this role and your experience doesn't align perfectly with every tech requirement, we still encourage you to apply. The only non-negotiable for us is fluent English, as you'll be collaborating daily with global teams. If you’ve got the language skills and the drive to learn, you might be exactly who we are looking for to bring a fresh perspective to our team!
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Pyyne
View Company ProfilePyyne (also operating as PYYNE Digital) is an AI-native software engineering and digital co-creation consultancy engineered to build, scale, and operate mission-critical cloud infrastructure and autonomous human-agent software systems. Founded in 2020 and headquartered in New York with additional global hubs in Stockholm, São Paulo, and San Francisco, Pyyne helps enterprise clients, fast-growing SaaS platforms, and AI pioneers eliminate technical bottlenecks, modernize architecture, and bridge the gap between pilot AI experiments and production-grade execution. Moving beyond traditional IT outsourcing shops, Pyyne deploys specialized embedded engineering squads and interim fractional CTO teams that design, architect, and maintain high-concurrency cloud environments, automated data pipelines, and agentic workflows. Under the hood, its technology capability—spanning multi-cloud orchestration, DevOps automation, real-time microservices, LLM model selection, and agent system integration—natively handles complex data governance, hardware-software IoT integrations, and rapid member-scale expansion. What sets Pyyne apart is its focus on deploying human-agent hybrid teams that engineer scalable software from initial ideation straight through to long-term operations—enabling global enterprises to unlock real-time decisioning and execute digital transformation at speed.
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