Bevi · 9 hours ago
Data Scientist
Boston, MA
Full-time
Hybrid
Entry, Mid Level
$115K/yr - $142K/yr
2+ years expBevi is a company on a mission to transform beverage delivery and consumption through IoT-enabled technology. They are seeking a Data Scientist to join their Data & Data Science team, responsible for transforming datasets into actionable insights to enhance customer experience and support business growth.
Food and BeverageGreenTechHardwareInternet of Things
Responsibilities
Develop and productionalize machine learning models using large-scale real-time IOT sensor data to predict machine and component failures
Partner with Data Engineering, Software, Hardware, and Quality teams to ensure data integrity, and understand appropriate operational and mechanical context to inform your ML design
Spearhead the development and productionalization of a cutting-edge suite of predictive models including Churn Prediction, Lifetime Value, and Look-a-Like to unlock actionable customer insights and drive strategic revenue growth
Translate advanced analytics into high-impact business action by partnering directly with Revenue Operations and Sales Enablement to ensure model outputs are seamlessly integrated and adopted by the Sales organization for exceptional customer relationship management
Proactively identify opportunities within our customer data to improve the customer 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
Be the go-to expert for Product, Design, and Engineering to identify success metrics, define decision criteria, and effectively measure new flavors, features, and experiences
Translate data and analytics into clear insights and recommendations
Build clear, informative dashboards and drive adoption to democratize data
Qualification
Required
Bachelors degree in Statistics, Mathematics, Computer Science, or similar quantitative field; Masters degree preferred
2-5 years of professional experience in machine learning, advanced analytics, or data science
Proven hands-on experience with Machine Learning (ML) such as unsupervised anomaly detection (isolation forest, SVM, autoencoders), supervised failure classification (XGBoost, LSTM), and RUL regression models (Weibull)
Proven hands-on experience building applied data science models such as XGBoost, Logistic Regression, or Survival Analysis for churn prediction; Negative Binomial + Gamma Gamma for predictive lifetime value; and Collaborative Filtering, Content Based Filter, or Clustering for flavor profile modeling
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
Strong proficiency in SQL and R/Python for data querying, manipulation, and analysis
Experience with data visualization tools (eg Looker, PowerBI, Hex, Grafana, DataDog)
Experience with cloud data platforms (eg Snowflake)
Ability to effectively manage multiple priorities, context-switch, and thrive in a fast-paced environment
Excellent communication and presentation skills with the ability to explain complex findings to non-technical audiences
Demonstrated ability to anticipate second order questions and proactively communicate to ensure alignment for continuous progress
Benefits
Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer
401(k) with company match
Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc
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, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too
Happy hours, team-building events, bagel breakfasts, Values awards - and more.
Company
Bevi
Bevi develops a smart water dispenser that customizes flavored and sparkling beverages on demand.
51-200 employees
H1B Sponsorship
Bevi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
Funding
Current Stage
Late StageTotal Funding
$130.29MKey Investors
Cowen GroupBessemer Venture PartnersTrinity Ventures
2022-08-09Series D· $70M
2022-07-26Series Unknown
2019-01-23Series C· $35.5M
Leadership Team
Cathy Lewenberg
Chief Executive Officer | Board Director
Eliza Becton
Co-Founder | VP Product
Recent News
2026-02-03
Company data provided by crunchbase