Senior Data Scientist
$170,000–$200,000 year
Remote · United States or WorldWide
Job Summary
Senior Data Scientist to build and scale Northbeam's measurement products (MMM, Incrementality, Insights, and Recommendation Systems); focus on translating statistical and causal inference methodologies into production-grade systems across the full lifecycle from modeling to deployment and customer support; requires strong statistical foundations, coding, and ability to communicate with technical and non-technical audiences; remote-friendly with offices in San Francisco and Los Angeles.
Required Qualifications
- 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
- 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
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