Data Scientist/ Analyst

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

     

Published 14 May
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