Senior Data Scientist

<div class="content-intro"><h3>About Northbeam</h3> <p>Northbeam 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.</p> <p>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 Northbeam, 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.</p> <p>We're a remote-friendly company with offices in San Francisco and Los Angeles.</p></div><h3><strong>About the Role</strong></h3> <p>We are seeking a <strong>Senior Data Scientist</strong> to help build and scale Northbeam's measurement products, including MMM, Incrementality, Insights, and Recommendation Systems.</p> <p>This is an <strong>applied data science role</strong> 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.</p> <p><strong>This role emphasizes production implementation and operational ownership as much as statistical methodology.</strong></p> <p>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.</p> <h3><strong>Your Impact</strong></h3> <ul> <li>Build, deploy, and maintain production systems that power Northbeam's measurement products.</li> <li>Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities.</li> <li>Improve the accuracy, coverage, reliability, and operational robustness of our measurement systems.</li> <li>Debug data, modeling, and production issues across the full stack, from source data to customer-facing outputs.</li> <li>Evaluate methodological improvements pragmatically, balancing statistical rigor, implementation complexity, maintainability, and business value.</li> <li>Partner closely with teammates across Data Science, Engineering, Product, and Customer Success to improve measurement quality and product capabilities.</li> <li>Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to improve Northbeam's products.</li> </ul> <h3><strong>What You Bring</strong></h3> <ul> <li>Bachelor's degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field.</li> <li style="font-weight: bold;"><strong>5+ years of experience building and deploying data science, machine learning, or AI systems in production environments.</strong></li> <li>Strong foundation in statistics, machine learning, experimentation, and causal inference, with experience applying these methods to solve real-world business problems.</li> <li>Strong coding and debugging skills, with the ability to write production-quality code that is maintainable, testable, and reliable.</li> <li>Experience implementing, deploying, and supporting statistical or machine learning systems in production environments.</li> <li>Ability to debug issues across the full stack, including source data, data pipelines, model logic, production services, and customer-facing outputs.</li> <li>Experience owning projects end-to-end, from problem definition and methodology evaluation through production deployment and operational support.</li> <li>Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy.</li> <li>Strong communication skills and the ability to explain technical concepts to both technical and non-technical audiences.</li> <li>Growth mindset, intellectual curiosity, and a willingness to learn new domains, technologies, and measurement methodologies.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="title">Base Salary Range</div><div class="pay-range"><span>$170,000</span><span class="divider">&mdash;</span><span>$200,000 USD</span></div></div></div><div class="content-conclusion"><p>Actual compensation may vary based on experience, skills, and location.</p> <p>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.</p> <p><strong>Interview Process</strong><br>The interview process varies by role but typically begins with a 30-minute interview with a Northbeam 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.</p> <p>We accept applications on an ongoing basis.</p></div>