--- title: 'Data Scientist at Northbeam' canonical: 'https://feeny.ai/job/data-scientist-northbeam-united-states-jd9ps51jfxdx' type: 'job' last_seen: '2026-10-12' --- # Data Scientist at Northbeam - **Company:** Northbeam - **Location:** United States - **Compensation:** $130k–$160k - **Work type:** remote - **Posted:** 2026-09-30 - **Last confirmed live:** 2026-10-12 - **Apply:** https://job-boards.greenhouse.io/northbeam/jobs/4716633006 ## Job description ## About Northbeam 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. Machine learning has been at the heart of Northbeam 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 Northbeam 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 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. We're a remote-friendly company with physical offices in San Francisco and Los Angeles. ## About the Role We are seeking a Data Scientist as a foundational member of our new "Applied Measurement" team.  In this role, you will help scale Northbeam's incrementality and measurement products directly with customers, to help customers answer some of their most important marketing measurement questions.  You’ll work at the intersection of data science, causal inference, predictive modeling, and customer problems, contributing across Northbeam’s measurement products.  This can include experimentation and incrementality products, Marketing Mix Modeling (MMM), and other predictive or machine learning products. This is an applied Data Science role with direct exposure to real-world customer problems.  You’ll work closely with experienced Data Scientists and cross-functional partners across Media Strategy, Customer Success, Product, and Engineering.  As you develop deeper product and methodological expertise, you’ll have opportunities to contribute to new methodology, tooling, and scalable measurement capabilities.  You will also act as a trusted technical partner to clients: explaining statistical methodology, diagnosing measurement issues in their specific account, and clearly communicating experimentation results to drive actionable recommendations. This role emphasizes customer partnership and applied communication as much as statistical methodology and production rigor.  The ideal candidate combines strong statistical foundations with a service-oriented mindset, and is comfortable moving between modeling, software development, and direct customer conversations. ## Your Impact - Partner with customers and internal teams to understand important marketing measurement questions and translate them into data science problems. - Work with real-world customer data to ensure it is reliable and appropriate for modeling and measurement. - Analyze model and experiment results, investigate unexpected outcomes, and identify potential data, modeling, or measurement issues. - Translate complex statistical and modeling results into clear insights and actionable recommendations. - Partner with Senior Data Scientists on more complex methodological and modeling problems. Collaborate with cross-functional peers to support clients with the practical application. - Identify recurring challenges and opportunities to improve our models, diagnostics, tooling, and processes. - Build reusable analysis and diagnostic tools that make measurement more reliable and scalable. - As you grow in the role, contribute to the development of new methodologies, models, and production measurement capabilities. ## What You Bring - Bachelor's degree (MS preferred) in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field. - 2+ years of experience building and deploying data science, machine learning, or AI systems in production, ideally including direct client- or customer-facing work. - Strong foundation in statistics, machine learning, experimentation, and causal inference, with genuine enthusiasm for explaining these methods to non-technical audiences. - Excellent verbal and written communication skills—comfortable leading a customer conversation, explaining a modeling tradeoff to a non-technical stakeholder, and writing up findings clearly. - Strong coding and debugging skills, with the ability to write production-quality code and diagnose issues across the full stack, including source data, pipelines, model logic, and customer-facing outputs. - A service-oriented mindset: energized by direct, hands-on customer problem-solving, not only methodology for its own sake. - Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy. - Growth mindset, intellectual curiosity, and a willingness to learn new domains, customer verticals, and measurement methodologies. - Strong preference for candidates with a robust statistical background and prior experience in digital marketing or eCommerce analytics. Base Salary Range $130,000—$160,000 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 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. We accept applications on an ongoing basis. ## About Northbeam ## Company Overview - **One-liner**: Northbeam is a marketing intelligence platform that provides multi-touch attribution, media mix modeling, and analytics to help eCommerce and DTC brands optimize ad spend for profitable growth. - **Entity Type**: Private (Venture-backed) - **Headquarters**: San Francisco, California, USA (also offices in San Diego, New York, Austin, and Chicago) - **Founded**: 2019 - **Founders**: Not publicly listed on the main profile (the founding team is cited on the "About Us" page, but individual names are not widely published; the team is described as the "Northbeam Team"). ## Core Business - **Primary Industry**: Marketing Intelligence / Marketing Analytics / AdTech - **Target Customers**: B2B – primarily Direct-to-Consumer (DTC) and eCommerce brands, as well as larger enterprises with significant ad spend. Served over 1,000 companies. - **Mission/Purpose**: To provide transparent, accurate, high-fidelity data so marketers can make the right choices to target and efficiently scale their ad spending. They aim to "help you scale your business profitably." ## Products & Services - **Northbeam (Core Platform)**: A marketing intelligence suite that unifies business data through powerful attribution modeling and customizable dashboards. It uses first-party data and machine learning to give an independent, accurate view of ad performance. - **Multi-Touch Attribution**: Tracks customer touchpoints across all channels (including view-through from impressions) using infinite lookback windows. Includes the "Clicks + Deterministic Views" model, claimed as the world's first deterministic view-through attribution model. - **Media Mix Modeling+ (MMM Plus)**: A modernized version of media mix modeling that allows for flexible forecasting, budget scenario planning, and daily optimization for promos and seasonality, all with high-speed feedback. - **Northbeam Apex**: An advanced ad platform integration that sends Northbeam performance data directly to ad platform algorithms (e.g., Facebook, Google) to improve ROAS and CAC, going deeper than standard CAPI or third-party enrichment. ## Market Standing - **Funding & Valuation**: Total funding of **$30.0M** across two rounds. - Series A (Aug 2022): **$15.0M** led by Silversmith Capital Partners. - Venture Round (Sep 2025): **$15.0M** led by HighPost Capital and Silversmith Capital Partners. - **Key Metric**: Annual Revenue estimated at **$2.0M** (per LinkedIn data). The company tracks **$130 billion** in ad-attributed revenue for clients and measures over **2.1 trillion** impressions. - **Notable Investors/Partners**: Silversmith Capital Partners, HighPost Capital. - **Growth Signals**: Employee headcount grew **+36.9% YoY** (approx. 76 employees). The company operates in 5 countries (US, Brazil, Dominican Republic, Canada, Puerto Rico). Trusted by over 1,000 companies. ## Competitive Advantages - **Data Accuracy & Fidelity**: Claims industry-leading data fidelity through a combination of first-party data, deterministic view-through modeling, and machine learning. Provides "laser-accurate" data independent of ad platform bias. - **Unified Measurement Suite**: Offers a rare combination of multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing all in one platform, giving a holistic view. - **Advanced Integration (Apex)**: The direct ad platform integration (Apex) is positioned as a "world’s most advanced" connection, allowing for automated performance optimization directly within ad tools. - **Privacy-First Approach**: Built to operate effectively in the modern, privacy-constrained landscape (e.g., adapting to changing laws, device graph modeling). ## Strategic Focus - **Product Expansion**: Continually pushing the boundaries of machine learning and statistical analysis for marketing measurement. The recent launch of "MMM Plus" and "Northbeam Apex" indicates a focus on blending high-level strategy (MMM) with real-time execution (MTA/Apex). - **Enterprise Growth**: Hiring for Enterprise Sales Director roles and focusing on "strategic support" suggests a push into larger, more complex accounts. - **Customer Education**: Emphasizing "Education" and "Transparency" as core pillars, with content like the "Media Buyer Newsletter" and data review strategy sessions to empower clients. ## Why Work Here - **Culture**: Described as a data-driven and intellectually rigorous environment. The company values "inclusion, curiosity, and respect." They are proud to be an Equal Opportunity Employer. - **Work Policy**: Remote-first. Most job postings list "Remote - USA" or "Remote - Canada," with no requirement for in-office presence. The headquarters are in San Francisco, but the team is distributed. - **Perks & Engineering Culture**: The engineering team works with cutting-edge ML and data pipelines. The team is small but growing fast (76 people), offering significant ownership and impact. Notable hiring from top companies like Shopify, The Trade Desk, and Brex. - **Team Composition**: Technical roles (engineering, data science) make up the largest department (19%), followed by Marketing (16%) and Customer Success (12%). This is a product-forward company. - **Compensation & Reviews**: Employee reviews give Compensation a 4.2/5.0, but Culture (3.1) and Work-Life Balance (2.5) score lower, suggesting a high-performance, demanding environment. ## Sources 1. [northbeam.io](https://www.northbeam.io/) 2. [northbeam.io/about](https://www.northbeam.io/about-us) 3. [linkedin.com](https://www.linkedin.com/company/northbeam) 4. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/northbeam) 5. 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