Data Scientist

Ordergroove • New York City, NY

4d • 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
• If you don’t meet 100% of the qualifications outlined above - that’s okay, nobody’s perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day.

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

Benefits

• With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind.
• We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs.
• We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings.
• At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves.
• We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc).
• And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level