Data Scientist

Ordergroove

3h•Remote

About The Position

We’re looking for an exceptionally talented and naturally curious Data Scientist to help Ordergroove drive smarter, data-driven decisions that improve subscription experiences, merchant growth, and platform personalization at scale. At Ordergroove, we don’t just predict clicks; we build models that tailor subscription experiences to drive durable customer commitment and maximize lifetime value. In this role, you will shape a smarter, more data-driven culture across the organization to influence decisions at every level, from feature design to company-level strategy. You will lead the development and productionization of machine learning models that power billions in recurring revenue across global consumer brands. Leveraging Ordergroove’s unique “Subscription Moat:” high-velocity, high-volume transactional data across diverse verticals, you’ll tackle complex problems such as churn prediction, dynamic replenishment, subscription optimization, and customer lifetime value modeling. Your work will directly impact how merchants design subscription experiences and shape how consumers shop, influencing retention strategies, replenishment logic, and personalized subscription journeys for millions of end customers. This is a highly cross-functional role. You’ll collaborate with engineers to move models from experimentation to production, work with product leaders to define success metrics and roadmap priorities, and present insights and recommendations to senior leadership to guide strategic decisions that shape the future growth of the company. As Ordergroove continues to invest in data science, this role offers the opportunity to help define the data science roadmap and build out a team over time, providing technical leadership and mentorship as we scale our ML capabilities. If you thrive in fast-moving environments, enjoy translating data into business impact, and want to shape the future of subscription commerce, we’d love to talk.

Requirements

5+ years of experience in a data science role, helping companies innovate products forward using machine learning
Strong knowledge of Machine Learning/Statistical Modeling & Analysis
Professional-level Python knowledge
Strong quantitative background, MA/MS in statistics, mathematics, computer science, economics, or another quantitative field is required
Passionate about leveraging the best of breed technology and eager to learn new skills
You are a great communicator, self-driven, and prepared to work in a fast-paced startup environment

Nice To Haves

Background in building payment recovery or customer churn ML models
Experience with analysis tools such as Jupyter Notebook or R
Experience working with large data sets using tools such as Spark, BigQuery, Hadoop, etc.
Previous e-commerce experience
Start-up and SaaS experience strongly preferred

Responsibilities

You will research and develop new ways that use our mass data to build long-lasting relationships for some of the biggest brands in the world, impacting the lives of millions of users
Evaluate and test the tradeoffs between competing machine learning models, methodologies, and architectures
Collaborate daily with the data engineering team, product teams, and other functional areas