Data Scientist

Job description

# **About Pyyne** 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 Summary** Our client is a prominent NYC-based health tech company. They are seeking a mid-level **Data Scientist** to conduct product analysis and help design & evaluate A/B tests. The 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 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 & our 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 we design 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 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:** - You have 3+ years of Python and SQL experience in a Data Science environment, to aggregate, transform, and analyze data and conduct statistical analysis - You have 3+ years of experience designing statistical tests and running A/B tests - You have a proven track record of building successful stakeholder relationships across a range of teams and levels - You have the ability to distill down complex data concepts and systems to non-technical stakeholders, both in writing and live conversations - You have experience building predictive models using statistical and ML techniques and working closely with Engineering to bring your models to production - You have demonstrated curiosity about AI and language models through coursework, projects, or independent exploration **Nice to Have Skills** - You have experience working with digital consumer subscription products - You have expertise in survival models, advanced LTV/CRM modeling, and growth accounting - You have experience working with stakeholders in a number of cross functional areas, ranging from Product to Marketing to Finance to Engineering - You have experience with AI-native developer tools such as Cursor, Codex, or Claude Code - You have first-hand experience in data modeling and writing your own data pipelines 🚀 **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!