Senior Data Scientist

About the company

The company is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of the company since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn the company insights into automated decisions.

We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At the company, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.

We're a remote-friendly company with physical offices in San Francisco and Los Angeles.

About the Role

We are seeking a Senior Data Scientist to help build and scale the company's measurement products, including MMM, Incrementality, Insights, and Recommendation Systems.

This is an applied data science role focused on translating statistical and causal inference methodologies into reliable, production-grade systems. You will work across the full lifecycle of measurement products—from methodology evaluation and model development to implementation, deployment, monitoring, and customer support.

This role emphasizes production implementation and operational ownership as much as statistical methodology.

The ideal candidate combines strong statistical foundations with a builder mindset and is comfortable moving between modeling, software development, production operations, and customer-facing problem solving.

Your Impact

• Build, deploy, and maintain production systems that power the company's measurement products.

• Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities.

• Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems.

• Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs.

• Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value.

• Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities.

• Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve the company's products.

What You Bring

• Bachelor's degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field.

• 5+ years of experience building and deploying data science, machine learning, or AI systems in production environments.

• Strong foundation in statistics, machine learning, experimentation, and causal inference, with experience applying these methods to solve real-world business problems.

• Strong coding and debugging skills, with the ability to write production-quality code that is maintainable, testable, and reliable.

• Experience implementing, deploying, and supporting statistical or machine learning systems in production environments.

• Ability to debug issues across the full stack, including source data, data pipelines, model logic, production services, and customer-facing outputs.

• Experience owning projects end-to-end, from problem definition and methodology evaluation through production deployment and operational support.

• Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy.

• Strong communication skills and the ability to explain technical concepts to both technical and non-technical audiences.

• Growth mindset, intellectual curiosity, and a willingness to learn new domains, technologies, and measurement methodologies.

Base Salary Range

$170,000 — $200,000 USD

Actual compensation may vary based on experience, skills, and location.

In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Interview Process

The interview process varies by role but typically begins with a 30-minute interview with the company recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.

We accept applications on an ongoing basis.