About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
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.
As a Data Scientist at Decagon, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance.
You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon’s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.
In this role, you will
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
What We're Looking For
Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data.
Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design.
5+ years of experience in data science, product analytics, or a related field at a high-growth or scaled technology company.
A proven track record of designing, running, and analyzing experiments at scale. •
Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.
Benefits
Medical, dental, and vision benefits
Take what you need vacation policy
Daily lunches, dinners and snacks in the office to keep you at your best
Compensation:
$250k - $300k + equity
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Decagon is looking for a Talent Associate to drive interview coordination, candidate experience, and recruiting operations as we scale our in-office San Francisco team.
Lead and advance clinical biomarker analytics and multimodal data integration to drive precision-medicine decisions for oncology programs at a global biopharma company.
Work at Quizlet to design, develop, and deploy scalable ML and AI systems that power personalized learning experiences for millions of users.
Kobie is hiring a Decision Science Analyst to generate actionable customer insights, build audience segments, and communicate data-driven recommendations that improve loyalty program ROI in a remote-friendly role.
Oura is hiring a Senior Data Scientist to lead algorithm and production ML development for running dynamics and performance-focused features using wearable sensor data.
Contribute to a stealth biotech's AI-driven platform as an Associate Computational Scientist, using Python and bioinformatics to analyze biological datasets and build data pipelines that enable generative biological models.
Mercor is hiring an Applied AI Engineer to convert real-world human datasets into production-ready signals, deploy and evaluate LLMs, and build integrations and tooling that improve customer outcomes.
Stand is looking for a Machine Learning Engineer to design, train, and deploy production ML models that power its climate-risk analytics and resilience insurance platform in San Francisco.
Netic is hiring an in-person Machine Learning Engineer Intern in San Francisco to build and deploy production ML models and collaborate directly with customers and product teams.
The Patrick J. McGovern Foundation is building an open talent pool of technologists and data experts to match with future AI- and data-focused roles supporting social-impact programs and partners.
Help build Netic's production ML stack as a New Grad Machine Learning Engineer, working on LLMs, fine-tuning, and full-stack model delivery for real-world service businesses.