Data Scientist

Northbeam LLC; San Francisco (CA); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Equity package

Healthcare benefits

401(k) plan

Flexible PTO

12 company-paid holidays

Parental leave

Remote work stipend

Job summary

Northbeam is seeking a Data Scientist to join our Applied Measurement team and scale our incrementality and measurement products for real-world clients. You’ll work at the intersection of data science, causal inference, and production engineering, collaborating closely with cross-functional teams.

The ideal candidate blends strong statistical foundations with a service mindset, thrives in a fast-paced startup, and is comfortable moving between modeling, software development, and direct customer

Qualifications

• Bachelor's degree in a highly quantitative field.
• 2+ years building and deploying data science or ML systems in production.
• Strong foundation in statistics, ML, experimentation and causal inference.
• Excellent verbal and written communication; able to explain methods to non-technical audiences.
• Strong coding and debugging skills; production-quality code across the stack.
• Service-oriented mindset; comfortable solving real customer problems.
• Growth mindset and adaptability in a startup environment.
• Experience in digital marketing or ecommerce analytics is a plus.

Responsibilities

• Partner with customers and internal teams to translate questions into data science problems.
• Work with real-world customer data ensuring reliability for modeling.
• Analyze model and experiment results and diagnose issues.
• Translate statistical results into clear, actionable insights.
• Collaborate with senior data scientists on complex problems and tooling.
• Identify recurring challenges to improve models, diagnostics, and processes.
• Build reusable analysis tools to improve measurement scalability.
• Contribute to new methodologies, models, and production capabilities over time.

Skills

Statistics

Machine learning

Causal inference

Experimentation

Data visualization

Communication

Python

SQL

Client-facing

Production code

Education

Bachelor's degree

MS preferred

Job description

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 are an equal opportunity employer and consider all work‑authorized candidates. This question is asked solely to assess operational planning needs.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Northbeam's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.