Pyyne is a modern technology consultancy engineering the next generation of digital products and services.
At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.
Job SummaryOur client is a prominent NYC-based health tech company. They are seeking a mid-level Product Data Scientist to conduct product analysis and help design & evaluate A/B tests.
The Product Data Science team currently consists of 4 other Data Scientists, who work together to tackle a variety of projects each week.
A successful candidate in this role will be comfortable working closely with stakeholders across the data and business teams.
Key ResponsibilitiesProduct 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
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!
Skills Required
- 3–5 years of experience as a data scientist in a product-focused environment
- Strong proficiency in SQL
- Solid understanding of data modeling concepts
- Proficiency with Python
- Experience with data analysis or data science packages such as Pandas and statistical tools
- Strong data storytelling and stakeholder communication skills
- Ability to explain technical concepts intuitively
- Detail-oriented approach with the ability to sense-check outputs and correct errors
- Product sense and familiarity with product metrics such as DAU and retention
- General understanding of machine learning and model creation and evaluation
- Fluent English
What We Do
Pyyne is an AI-native software firm and modern technology consultancy that engineers the next generation of digital products and services, focusing on digital co-creation, cloud engineering, data, and AI.
