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Staff Data Scientist
Staff Data ScientistNorthbeam • San Francisco, CA, United States
Staff Data Scientist

Staff Data Scientist

Northbeam • San Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Overview

Join to apply for the Staff Data Scientist role at Northbeam .

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. We are a remote-friendly company with offices in San Francisco and Los Angeles.

About the Role

We are seeking a Staff Data Scientist to support our marketing intelligence product, working directly with both customers and internal teams to deliver reliable measurement solutions. In this role, you’ll contribute to the core systems that help businesses understand marketing effectiveness, while flexibly shifting between technical implementation and customer support as needs evolve. You’ll be supported through mentorship from senior team members on complex challenges, with opportunities to take ownership of technical projects as you grow your expertise in marketing measurement and technical translation.

Your Impact

  • Support both new and existing data science–powered products.
  • Contribute to forecasting and experimentation capabilities, improving model accuracy and expanding measurement coverage.
  • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to enhance Northbeam’s product suite.
  • Collaborate with engineering and product teams to translate customer needs into technical requirements.
  • Provide technical expertise and support for non-technical stakeholders, both internal and external.

What You Bring

  • Bachelor’s degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field.
  • 8+ years experience in Data science and ML roles.
  • Solid foundation in statistics, machine learning, and causal inference with experience applying these methods to business problems (e.g., regression, time series analysis, A / B testing, Bayesian modeling, signal processing).
  • Proficiency in Python / R, SQL, and experience with data platforms and statistical modeling libraries.
  • Experience with (or enthusiasm about) working in a small, fast-paced company, and desire to drive the implementation of projects start-to-finish.
  • Strong growth mindset, desire to learn marketing measurement concepts and develop customer-facing skills.
  • Comfort explaining technical concepts to non-technical audiences and troubleshooting customer issues.
  • Bonus Skills & Experience

  • 2+ years of experience in marketing attribution, MMM, experimentation, or related measurement challenges.
  • Experience developing and validating production models that drive real business decisions.
  • Familiarity with MLOps practices and data pipeline orchestration tools.
  • Location & Schedule

    While we welcome applicants from all locations in the US and Canada, we are prioritizing candidates in San Francisco who are able to work from our downtown SF office a few days / week. This is a full-time role with remote-friendly policies.

    Compensation & Benefits

    Base Salary Range : $190,000—$230,000 USD. Actual compensation may vary based on experience, skills, and location. In addition to 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.

    Application

    We accept applications on an ongoing basis. Referrals increase your chances of interviewing. This role is part of Northbeam’s growing team of engineers and data scientists focused on delivering reliable marketing measurement solutions.

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