Direct-To-Consumer Data Scientist for Health & Wellness Start-Up

Watertown, Massachusetts

Open to Remote

Full Time

$150k - $180k

Job Description

Our client is a venture-backed, direct-to-consumer startup company that is creating transformational hydration products that reimagine the way in which flavored drinks are created and enjoyed. You may have heard of them going viral on TikTok!

They are looking to hire their very first Data Scientist, where you will be analyzing customer data and provide actionable insights with the purpose of gaining and retaining customers. In a nutshell, you will be tackling challenges across loyalty, retention, customer acquisition, channel attribution and omnichannel presence.

Their mission is to help people be healthier by making them transition from sugar, chemical-filled beverages to healthy, empowering, delicious water. No sugar, zero calories, zero carbs, no artificial additives and great flavor! This is a great opportunity to join a rapidly growing and profitable company that is backed by world class investors.

Required Skills & Experience
  • 7+ years of hands-on experience as a Data Scientist
  • 4+ years in a Direct-To-Consumer environment
  • BS/MS in Data Science or a related quantitative/ scientific field
  • SQL experience
  • Python ML ecosystem experience (Pandas, NumPy, Sklearn, etc.)
  • Solid understanding of prediction models, marketing channel mix, attribution, user behavior, website performance, etc.
  • Proficient in statistical analysis including regressions, incrementality tests, and experiments such as casual impact analysis and marketing-mix models
  • Experience ingesting, processing, and visualizing data sources (structured/relational and unstructured)
  • Experience developing, managing, and manipulating large, complex datasets.

Desired Skills & Experience
  • Data-driven, detail-oriented individual
  • Able to work independently and as part of a team


What You Will Be Doing
  • Analyzing customer data and providing actionable insights
  • Building data-driven solutions, training and optimizing prediction models
  • Designing and leading the implementation of analytics pipelines and visualizations
  • Recommending and testing new analytics algorithms and models
  • Collaborating with the Growth and Retail teams to drive data-driven decision-making


The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.




Posted by: Juliana Chavarro