Data Scientist

<div class="content-intro"><p>Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans—making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year—saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.</p></div><p>We are seeking a Data Scientist to join our high-performing Data Data Science team. This new role is pivotal in transforming our rich datasets into actionable insights that optimize the customer experience and accelerate Bevi’s exponential growth curve. The Data Scientist will partner directly with stakeholders across the business including Operations, Engineering, Sales, and Product to drive data-backed recommendations and decisions. The right candidate is naturally curious and thrives in solving unique and challenging analytical problems, applying a rigorous foundation in machine learning.</p> <p><strong>Your Day to Day: </strong></p> <p>Operations - Machine Learning</p> <ul> <li>Develop and productionalize machine learning models using large-scale real-time IOT sensor data to predict machine and component failures. Raise warning flags early to enable proactive (vs reactive) machine maintenance to deliver an exceptional customer experience.</li> <li>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.</li> </ul> <p>Customer - Applied Data Science</p> <ul> <li>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.</li> <li>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.</li> <li>Proactively identify opportunities within our customer data to improve the customer experience and drive business value.</li> </ul> <p>Product - Advanced Experimentation</p> <ul> <li>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.</li> <li>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.</li> </ul> <p>Overall</p> <ul> <li>Translate data and analytics into clear insights and recommendations.</li> <li>Build clear, informative dashboards and drive adoption to democratize data.</li> </ul> <p> </p> <p><strong>Who You Are:</strong></p> <ul> <li>Bachelors degree in Statistics, Mathematics, Computer Science, or similar quantitative field; Masters degree preferred</li> <li>2-5 years of professional experience in machine learning, advanced analytics, or data science.</li> <li>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).</li> <li>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 f ... (truncated, view full listing at source)