Senior Product Data Scientist, Bevi
$140.3-173.3k
+ Stock Options
2-5 days a week in office
Water dispenser for office and commercial spaces
Be an early applicant
Water dispenser for office and commercial spaces
201-500 employees
Be an early applicant
$140.3-173.3k
+ Stock Options
2-5 days a week in office
201-500 employees
Company mission
Bevi is on a mission to unbottle the future.
Role
Who you are
- Bachelors degree in Statistics, Mathematics, Computer Science, or similar quantitative field; Masters degree preferred
- 2-5 years of professional experience in product analytics, digital analytics, or data science
- Proven hands-on experience in designing and analyzing experiments including different types of A/B testing methodologies, multivariate, hold out, difference in differences, propensity score matching, etc
- Proven hands-on experience building applied data science models such as random forest, gradient boosting, clustering, ensemble, etc
- Strong proficiency in SQL and R/Python for data querying, manipulation, and analysis
- Experience with digital analytics platforms (eg Google Analytics, Adobe Analytics)
- Experience with data visualization tools (eg Looker, PowerBI, Hex, Grafana, DataDog)
- Familiarity with cloud data platforms (eg Snowflake)
- Excellent communication and presentation skills with the ability to explain complex findings to non-technical audiences
What the job involves
- We are seeking a Senior Product Data Scientist to join our high-performing Data & Analytics team.
- This role is pivotal in transforming our rich datasets into actionable insights that optimize the customer experience, quantify the impact of new features/flavors, and enhance our partner-facing tools.
- The Senior Product Data Scientist will partner directly with Product, Design, and Engineering to drive data-backed product recommendations and decisions.
- The right candidate is naturally curious and thrives in solving unique and challenging analytical problems, applying a rigorous foundation in experimentation, causal inference, and machine learning
- Proactively identify opportunities within flavor consumption, UI, and partner web portal data to improve the user experience and drive business value
- Develop a testing framework to balance analytical rigor with speed to insight, accounting for data challenges including indirect sales, long decision cycles, and intra-week variability
- Collaborate with Product, Design, and Engineering to identify success metrics, define decision criteria, and evaluate new flavors, features, and experiences
- Design, execute, and analyze A/B and quasi non-randomized tests to measure incremental impact on flavor consumption and user behavior
- Build advanced analytics models such as machine flavor profile
- Translate data and analytics into clear insights and recommendations
- Build clear, informative dashboards and drive adoption to democratize product data
- Partner with data engineering and software teams to ensure data quality, tagging, and instrumentation best practices
Our take
Americans buy billions of water bottles per year, the manufacture of which uses millions of barrels of crude oil. This alone causes significant damage to the environment, before even considering the carbon impact of delivery or the plastic waste produced. Bevi hopes to change this, with its smart beverage-dispensing machine that only requires a tap water source to function.
Bevi’s dispensers allow users to customize their drinks, check nutrition information and track the environmental impact of their usage. With the ability to carbonate beverages as well as flavor them with natural essences, and even some caffeine and electrolytes if one wishes, Bevi has created a versatile hydration system that caters to the modern consumer on both eco-conscious and personal taste levels.
This simple and effective hydration system has become popular across industries, with over 4000 companies including Volkswagen, Netflix and Google making use of Bevi machines. The company, though having to fight through some self-admittedly "frightening" times, has raised significant funding that will support its rapid growth and expansion into new verticals and products.
Steph
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2022
$70m
SERIES D
Jan 2019
$35.5m
SERIES C
Total funding: $130.2m
Company benefits
- Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer
- 401(k) with company match, and environmentally responsible investment options
- Flexible PTO plus 9 company holidays, and additional paid days for sick leave, etc (including sustainability or social justice volunteer events)
- Generous fully paid parental leave for both birth parents and non-birth parents
- Fully employer paid disability and life insurances
- Wellness and fitness reimbursements
- Monthly stipends for cell phone use and commuting costs
- Onsite snacks and (of course) unlimited Bevi ... plus composting and terracycling, too
- Happy hours, pancake breakfasts, Hero awards - and more!
Company HQ
The Schrafft Center, Charlestown, MA
Leadership
Eliza Becton
(VP of Product)Eliza's background is in user-experience design at various startups, with end-to-end experiences from ideation to market research to prototyping. Eliza graduated from the Rhode Island School of Design (RISD) with a Masters in Industrial Design, and from Yale University with a BS in Mechanical Engineering.
Cathy Lewenberg
(CEO)With a diverse background across consumer, retail, healthcare, and tech industries, Cathy earned her BA in Politics and American Studies from Princeton University and MBA from the Wharton School.
Sean Grundy
(Co-Founder & Head of Business Development)Previously, Sean has had 3 years experience managing environmental projects at Rare. They attended MIT Sloan School of Management for their MBA and Princeton for their undergraduate degree.
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