Staff 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 Data Science Organization </strong></h3> <p>Northbeam’s Data Science organization serves as the intelligence layer of the company, owning the end-to-end science behind marketing measurement and optimization. This includes developing and advancing our core methodologies—Media Mix Modeling (MMM), Incrementality testing, causal multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team is also responsible for AI-driven insights, recommendations, and the creation of reusable, scalable, and rigorously validated scientific systems that power Northbeam’s product and customer value.</p> <h3><strong>About the Role</strong></h3> <p>We are seeking a Staff Data Scientist to advance the statistical and experimentation foundations of Northbeam’s marketing intelligence products, including MMM, Incrementality, Insights, and Recommendation engines. This is a full-stack data scientist role, operating across the entire lifecycle—from researching and developing advanced statistical and causal inference approaches to implementing, deploying, and maintaining production systems.</p> <p>You will work at the intersection of R&amp;D and product, owning modeling end-to-end: from data exploration and experimental design to model validation, production integration, and live system iteration. You will bring a deep understanding of statistical modeling techniques and, critically, the assumptions underlying them. This role requires strong judgment in selecting, stress-testing, and adapting models to real-world marketing data where ideal conditions rarely exist.</p> <p>This is a high-agency, hands-on role, requiring comfort shifting between deep technical work, cross-functional collaboration, and customer-facing problem solving as business needs evolve.</p> <h3><strong>Your Impact</strong></h3> <ul> <li>Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products.</li> <li>Enhance the accuracy, robustness, and scalability of existing MMM pipelines.</li> <li>Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems.</li> <li>Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies.</li> <li>Debug data and modeling issues in production and improve the reliability of customer-facing results.</li> <li>Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers.</li> </ul> <h3><strong>What You Bring</strong></h3> <ul> <li>Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred).</li> <li>6+ years of applied experience in data science, machine learning, or statistical modeling roles.</li> <li>Deep applied experience in statistics and causal inference, including hands-on ownership of experiment design (A/B testing, geo-based experiments, or quasi-experimental methods), power analysis, and interpretation of lift.</li> <li>Strong understanding of regression, time series modeling, Bayesian methods, and model evaluation in real-world business settings.</li> <li>Experience translating statistical research or experimentation frameworks into production-ready systems.</li> <li>Proficiency in Python and SQL, with experience working on modern data platforms and statistical modeling libraries.</li> <li>Experience working with production code and comfort making changes to live models and pipelines.</li> <li>Interest in (or prior experience with) marketing measurement, including MMM and incrementality, with a strong desire to deepen domain expertise.</li> <li>Thrives in a small, fast-paced environment, with the ability to drive projects end-to-end.</li> <li>Strong communication skills, with comfort explaining technical concepts to non-technical audiences and supporting customer-facing investigations.</li> <li>A growth mindset and genuine curiosity about improving measurement quality and decision-making.</li> </ul> <h3><strong>Bonus Skills &amp; Experience</strong></h3> <ul> <li>Experience in marketing attribution, MMM, incrementality, or related marketing measurement challenges.</li> <li>Experience with optimization techniques (e.g., linear programming, mixed-integer programming) applied in production systems.</li> <li>Familiarity with MLOps practices and data pipeline orchestration tools.</li> <li>Startup Experiences.</li> <li>PhD in a quantitative field. </li> </ul> <h3><strong>Why Northbeam</strong></h3> <p>Unlike most Series A+ companies, we have a proven business model, strong revenue, and a growing waitlist of customers eager for the products we’re building. We are in a high growth phase and we are nearly profitable.</p> <p>We sit at the center of the performance-marketing ecosystem with deep partnerships across major ad platforms (Meta, Snap, TikTok, AppLovin, and more). Our unique combination of high-quality partner integrations, rich 1st-party data, and a robust identity graph gives us an advantage that is extremely difficult for competitors to replicate.</p> <p>Northbeam is where top-tier data talent can directly shape the industry’s most important measurement challenges at scale.</p> <p>#LI-Remote</p><div class="content-pay-transparency"><div class="pay-input"><div class="title">Base Salary Range</div><div class="pay-range"><span>$180,000</span><span class="divider">&mdash;</span><span>$230,000 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>