Data Scientist

Role overview

Join a marketing intelligence software team building measurement products for e-commerce brands. This remote role is based in the United States and spans marketing mix modeling, incrementality, insights, and recommendation systems. The work combines statistical and causal inference methods with production implementation and ongoing operational ownership.

Responsibilities

Build, deploy, and maintain production systems for measurement products, translating statistical and causal inference methods into reliable, scalable capabilities for customers.
Improve measurement accuracy, coverage, reliability, and operational resilience.
Investigate data, modeling, and production problems across source data, pipelines, model logic, services, and customer-facing results.
Evaluate methodological improvements against statistical rigor, implementation effort, maintainability, and business value.
Collaborate with Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities.
Explain statistical concepts to customers, resolve measurement issues, and use their feedback to improve products.

Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative discipline. A master’s degree or PhD is preferred.
At least five years of experience building and deploying data science, machine learning, or AI systems in production.
Strong foundations in statistics, machine learning, experimentation, and causal inference, with practical experience solving business problems.
Strong coding and debugging skills and the ability to produce maintainable, testable, reliable production code.
Experience implementing, deploying, and supporting statistical or machine learning systems, including diagnosing problems throughout the stack.
Experience owning projects from problem definition and methodology evaluation through deployment and operational support.
Comfort working autonomously in a fast-paced startup and moving projects from concept to production.
Clear communication with technical and nontechnical audiences, intellectual curiosity, and a willingness to learn new technologies, domains, and measurement methods.

Compensation and Benefits

The base salary range is $170,000–$200,000 USD. Actual compensation depends on experience, skills, and location.

Benefits include equity, medical, dental, and vision coverage, a 401(k), flexible PTO, 12 paid company holidays, 12 weeks of paid parental leave, and a $500 work-from-home stipend.

Interview Process

The process varies by role. It typically starts with a 30-minute recruiter interview, followed by a hiring manager video interview, a role-specific video interview, video or onsite conversations with team members, and a final video interview with the CEO/co-founder. Expect approximately five to seven interviews totaling five to eight hours. Applications are accepted on an ongoing basis.