Data Scientist

Join our team as a Data Scientist, where you will partner with customers and internal teams to address important marketing measurement questions. You will work with real-world customer data, analyze model and experiment results, and translate complex statistical and modeling results into clear insights and actionable recommendations. You will also collaborate with Senior Data Scientists on complex methodological and modeling problems, identify recurring challenges and opportunities for improvement, and build reusable analysis and diagnostic tools. The ideal candidate will have a strong statistical background, prior experience in digital marketing or eCommerce analytics, and a service-oriented mindset.

• Partner with customers and internal teams to understand marketing measurement questions and translate them into data science problems.
• Analyze model and experiment results, investigate unexpected outcomes, and identify potential data, modeling, or measurement issues.
• Build reusable analysis and diagnostic tools that make measurement more reliable and scalable.

• Growth mindset, intellectual curiosity, and a willingness to learn new domains, customer verticals, and measurement methodologies
• Excellent verbal and written communication skills—comfortable leading a customer conversation, explaining a modeling tradeoff to a non-technical stakeholder, and writing up findings clearly
• Strong preference for candidates with a robust statistical background and prior experience in digital marketing or eCommerce analytics
• Strong foundation in statistics, machine learning, experimentation, and causal inference, with genuine enthusiasm for explaining these methods to non-technical audiences
• Bachelor's degree (MS preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field
• 2+ years of experience building and deploying data science, machine learning, or AI systems in production, ideally including direct client- or customer-facing work
• Strong coding and debugging skills, with the ability to write production-quality code and diagnose issues across the full stack, including source data, pipelines, model logic, and customer-facing outputs
• A service-oriented mindset: energized by direct, hands-on customer problem-solving, not only methodology for its own sake
• Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy