The Product Data Science team at Noom (www.noom.com) is seeking a mid-level Data Scientist Contractor. The primary responsibility is 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. We sit alongside the Business Data Science team (also 4 people) and the BI Engineering team.
“Product” at Noom covers all our in-app programs and features (including Noom Med!), as well as our Growth efforts (i.e. how we position and price their different product offerings!).
Key Responsibilities:
- Product Analysis:
• 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
• Answer insightful analysis questions from stakeholders across the Product org - Experiment Analysis:
• 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
• Be the “stats expert” alongside PMs to ensure we design effective experiments - Specific Deliverables (First 3-6 months):
• 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
• Ramp up on a particular product area and start answering ad hoc insight questions from there
Requirements:
- 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)
What We Offer:
- Strong goal-oriented team, and a research mindset
- Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
- Working with the newest technical equipment
- 20 working days of annual vacation leave
- English courses, Educational Events & Conferences
- Medical insurance
Про компанію DataRoot Labs
DataRoot Labs is a full-cycle AI R&D center and the largest talent & compute pool in Ukraine.
We help companies like IBM, Noom, and Cognyte to co-build AI components into their core.
DataRoot Labs offers consulting & development for SMBs and enterprises from Los Angeles to Tel Aviv, leveraging:
— LLMs Training & Tuning (making LLMs say what you want them to — instead of infinite prompt engineering iterations)
— Multimodal LLMs (making LLaMa able to see)
— Vector DB design (developing to have a conversation with your data)
— Reinforcement Learning (making robots more agile and smart)
In 8+ years in business, we’ve completed over 45 AI-enriched projects for numerous industry leaders and startups across Automotive, Energy & natural resources, Navigation, Gaming, Education, and many more. Some of them have become DataRoot Labs long-term partners, and trusted us to co-develop them.
Our agile Ukraine-based team of 50+ cross-domain professionals calibrates clients’ needs and evolves along with them. Beyond client work, DataRoot Labs conducts a free advanced trainee program, DataRoot University, offering practical skills and experience in Data Science & Engineering. Since 2017, over 1200 Ukrainians completed the course.
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