Decagon is looking for a Data Scientist to bring deep technical rigor to how data is analyzed, tested, and applied across the business, aiming to inform product strategy and company performance.
Requirements
- Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design.
- A proven track record of designing, running, and analyzing experiments at scale.
Responsibilities
- Conduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.
- Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.
- Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.
- Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.
- Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.
- Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.
- Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business
Other
- Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data.
- 5+ years of experience in data science, product analytics, or a related field at a high-growth or scaled technology company.
- Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.
- We’re an in-office company, driven by a shared commitment to excellence and velocity.
- Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.
