Forward Deployed Engineer, Data & Analytics

Required

• The Strategic Mindset: You naturally think several moves ahead. You understand business models, competitive dynamics, and growth levers. You can walk into a room with executives and hold your own in discussions about market strategy, unit economics, and long-term planning. You've seen how businesses succeed and fail, and you know how to spot the difference.
• The Technical Depth: You're genuinely strong in quantitative methods—statistics, predictive modeling, optimization, and experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, and SQL are still in your wheelhouse.
• The Translation Layer: You can explain complex analytical concepts to non-technical stakeholders without dumbing them down. You know how to build conviction around data-driven recommendations and can defend your methodology when challenged. You make the quantitative accessible and actionable.
• The Business Acumen: You understand P&Ls, growth metrics, customer economics, and operational levers. You've worked closely enough with business teams to know what keeps them up at night and how your analyses can help them sleep better.
• 5+ years of experience in data science, engineering or data engineering roles with increasing strategic responsibility
• Strong foundation in data platforms, data science, statistics, machine learning, and quantitative analysis
• Additional considering will be given to engineers who have a background in data but have yet to work deeply with LLM enabled workflows
• Experience working directly with business leaders to convey options and tradeoffs to define solution design and scope.
• Demonstrated experience influencing business strategy through data
• Track record of identifying and driving growth opportunities
• Excellent communication skills with technical and executive audiences
• Proficiency in modern data science tools and languages