DataRoot Labs

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 their in-app programs and features (including Noom Med!), as well as our Growth efforts (i.e. how we position and price our different product offerings!). 
 

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 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
   

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

   

The Business Data Science team at Noom (www.noom.com) looking for a Senior BI Analyst— a highly visible, high-impact group that supports data-driven decision-making across the organization. You will be a key contributor to their weekly pacing process, which is presented directly to CEO and senior leadership team. Your work will shape strategic decisions and directly influence company performance.
 

As their business grows and complexity increases, this role is critical to scaling their analytics capacity, identifying growth opportunities, and helping ensure they’re not just reacting to data — but using it proactively to drive the business forward.

Key Responsibilities:

• Define, build, and maintain key business KPIs, dashboards, and reports.
• Perform deep-dive data analysis and business modeling to guide key strategic decisions.
• Prepare weekly pacing materials for the CEO and senior leadership team, delivering a clear picture of business performance against monthly, quarterly, and annual financial goals.
• Investigate trends, anomalies, and variances across a range of performance metrics, and communicate clear, data-driven narratives and strategic recommendations.
• Create high-quality visual and written presentations that summarize insights and highlight areas of opportunity or concern.
• Proactively identify risks, emerging trends, and performance drivers, supporting data-informed decisions across the business.
• Partner cross-functionally with Finance, Product, Marketing, and Operations to ensure a holistic understanding of business performance
• Continuously refine the pacing process and materials to improve strategic clarity, visibility, and efficiency.

Requirements:

• Bachelor’s degree in Business, Data Science, Economics, Engineering, Mathematics, or a related field.
• 5+ years of experience in data analytics, consulting, business intelligence, or technical operations.
• Advanced SQL skills (joins, aggregations, window functions, CTEs).
• Strong Python experience for data analysis and transformation.
• Experience with BI tools such as Looker (or similar) to create dashboards and visualizations.
• A proven track record of presenting data and insights to senior stakeholders and facilitating executive-level discussions.
• Experience working with digital consumer subscription products is a plus.

Why This Role Is Unique:

• High Visibility & Impact: You’ll work closelsy with other to prep for weekly sync with the the CEO and leadership team —your work directly influences strategic decisions.
• Cross-Functional Collaboration: You’ll work with teams across the business, from Finance to Product to Marketing.
• Immediate Feedback Loop: See the impact of your analysis week over week as leadership acts on your insights.
• Growth & Variety: The weekly pacing process provides a consistent rhythm, but the content and analysis are ever-evolving — no two weeks are the same.
• Strong Team Culture: Join a collaborative, curious, and high-performing team that thrives on solving complex problems together.
  
  What We Offer:
• Startup culture, a 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
• Reservation from mobilization after the trial period