Northbeam Logo

Northbeam

Senior Data Scientist

Posted 7 Days Ago
Remote or Hybrid
Hiring Remotely in USA
160K-205K Annually
Senior level
Remote or Hybrid
Hiring Remotely in USA
160K-205K Annually
Senior level
The Senior Data Scientist will support marketing intelligence products, improve model accuracy, explain statistical concepts, and collaborate with teams to translate customer needs into technical requirements.
The summary above was generated by AI
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’re a remote-friendly company with offices in San Francisco and Los Angeles.

About the Role

We are seeking a Senior 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.
  • 6+ 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. Examples: 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.

While we welcome applicants from all locations, we are prioritizing candidates in San Francisco who are able to work from our office on a semi-regular basis.

Base Salary Range
$160,000$205,000 USD

Actual compensation may vary based on experience, skills, and location.

We accept applications on an ongoing basis.

We’re experiencing rapid growth and strong product-market fit, and we’re 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.

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.

Top Skills

Python
R
SQL

Similar Jobs

Yesterday
Remote or Hybrid
USA
125K-180K Annually
Senior level
125K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.
Top Skills: AWSAzureGCPPythonRSnowflakeSQLTableau
7 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
166K-199K
Senior level
166K-199K
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
The Senior Data Scientist will manage and evolve critical predictive models to inform business strategies and support executive decisions while collaborating with cross-functional teams.
Top Skills: AirflowPythonRSQL
8 Days Ago
Remote
USA
Senior level
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Senior Data Scientist I will develop lead scoring models, analyze marketing campaign performance, and enhance data infrastructure for optimizing sales strategies.
Top Skills: DbtHexLookerPythonSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account