Senior Data Scientist

• Strong product instincts and comfort operating in ambiguity
• Ability to independently scope problems and drive solutions
• Clear communicator who can explain technical tradeoffs to non technical partners
• Highly effective written communication and presentation skills
• A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
• Ability to thrive in ambiguous, fast-moving environments where you must create clarity, drive forward progress, and pivot when necessary
• Strong grasp of model lifecycle management (real-time performance tracking, data drift monitoring, retrain intervals)
• Bias toward shipping and measurable impact
• Collaborative mindset across Product, Engineering, and GTM teams

• 5+ years applying statistics or machine learning in production environments
• Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods
• 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
• Strong Python skills
• Strong SQL proficiency and proven track record working with large scale datasets
• Experience with AWS, distributed systems, and high volume data pipelines
• Experience deploying and maintaining models in production
• Solid foundation in linear algebra, optimization, and model evaluation
• Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management

• Experience in marketplaces, ads tech, retail media, or growth optimization
• Strong instincts for what drives product adoption, engagement, and retention
• Familiarity with both B2C and B2B marketing analytics, and a holistic view of how different product verticals support one another
• Experience with ranking, pricing, or allocation problems
• Familiarity with feature stores, model monitoring, or ML platforms
• Experience with MLFlow (or similar tools), Sagemaker, Vector Databases (Pinecone, Faiss, Amazon MemoryDB), SparkML, Docker, Experimentation Platforms (Statsig, Eppo by Datadog)

Button is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work—regardless of who you are or where you come from. We value and celebrate our differences and believe being open about who we are allows us to do the best work of our lives.

Button is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.