Northbeam Logo

Northbeam

Director of Data Science, Marketing Measurement

Posted 4 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in USA
225K-250K Annually
Senior level
Remote or Hybrid
Hiring Remotely in USA
225K-250K Annually
Senior level
The Director of Data Science leads the team to build marketing measurement tools and data products while partnering closely with Engineering and Product teams. Responsibilities include managing technical execution, hiring talent, and establishing validation processes for data models.
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 Director of Data Science to lead the team that builds the intelligence layer underpinning Northbeam's modern marketing measurement and advanced, data-driven products.

This is a hands-on leadership role focused on executing the technical roadmap: guiding technical decisions, ensuring project delivery and accountability, and coaching and unblocking the team. You’ll partner closely with Engineering and Product to shape technical design and product requirements, and collaborate with R&D leadership to build the team and systems that drive continuous innovation and measurement accuracy.

Your Impact
  • Own the execution of the technical roadmap for data science models and scalable data products.
  • Lead cross functional projects end-to-end—from scoping to launch—with clear milestones, accountability, and quality standards.
  • Partner with Engineering and Product to align on milestones, unblock teams, and ensure execution velocity.
  • Hire, mentor, and develop top talent while raising the execution quality through effective reviews and coaching.
  • Understand customer pain points and desired outcomes; turn them into clear technical requirements and DS solution designs.
  • Recommend and translate statistical outputs and data science models into customer-facing features and enterprise solutions.
  • Establish repeatable validation processes for model release and collaborate with Data Engineering to ensure data quality and robust edge-case handling.
What You Bring
  • 8+ years in data science or ML engineering roles, including 5+ years managing senior data scientists or technical leads.
  • Proven ability to hire, develop, and retain senior technical talent while maintaining a high-performing team culture.
  • Master’s degree (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
  • Strong foundation in causal inference, time series analysis, Bayesian modeling, and experimental design.
  • Experience designing and deploying ML systems at scale in collaboration with engineering teams; skilled at influencing without direct authority and partnering with engineering, product, and business stakeholders to drive success.
  • Proficiency in Python, R, and SQL; experience with modern data platforms (e.g., BigQuery, Snowflake), MLOps practices, and pipeline orchestration tools.
  • Proven ability in shaping data infrastructure requirements, aligning with product teams
  • Strong communication skills with demonstrated excellence in translating complex statistical concepts for non-technical stakeholders.
Bonus Skills & Experience 
  • Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts.
  • Familiarity with customer acquisition funnels and enterprise sales cycles.
  • Prior work in MarTech/AdTech or B2B SaaS.
Base Salary Range
$225,000$250,000 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

BigQuery
Python
R
Snowflake
SQL

Similar Jobs

7 Minutes Ago
Remote or Hybrid
United States
65K-100K Annually
Mid level
65K-100K Annually
Mid level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Responsible for full-cycle B2B sales, consulting insurance agencies, and exceeding sales quotas in a collaborative environment.
Top Skills: ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSaaSSalesforce
8 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
90K-115K Annually
Senior level
90K-115K Annually
Senior level
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
Manage premium audit operations by leading teams, ensuring compliance, improving processes, and collaborating with cross-functional teams to optimize workflows and support company objectives.
Top Skills: G-Suite ToolsNexusSalesforceSlack
8 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Fintech • Insurance • Machine Learning • Other • Analytics • Financial Services • Automation
The Director of People Operations and Technology will lead HR functions by leveraging AI and technology to enhance employee experience, manage payroll, and oversee the HRIS system while ensuring strategic alignment with company goals.
Top Skills: AICartaContinuCulture AmpEthenaWorkday

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account