Northbeam

Principal Data Scientist

Northbeam

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $230,000 - $250,000 per year

Job Level

Lead

Tech Stack

BigQueryPythonSQL

About the role

  • Own and advance the statistical foundations of marketing-effectiveness measurement, ensuring methodologies are robust, reliable, and scalable.
  • Research, prototype, and deploy advanced attribution and AI models for marketing measurement.
  • Turn ambiguous attribution problems into reliable systems that drive confident business decisions.
  • Serve as the technical architect for attribution methodologies, experiment design, and statistical inference.
  • Design and evolve complex data science models that balance scientific rigor with practical, scalable frameworks.
  • Build and maintain experimentation frameworks for model validation and lift measurement.
  • Define and implement validation and release criteria for attribution model and product launches, including data-quality checks, model benchmarking, and validation metrics.
  • Collaborate with Software Engineers and Product Managers to productionize and productize your work.
  • Mentor Data Scientists on complex statistical and methodological challenges, including experiment design; raise the bar for individual execution via reviews and training.

Requirements

  • 8+ years in data science or ML engineering roles.
  • PhD (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field, with a strong foundation in causal inference, experimental design, and Bayesian modeling.
  • Proven experience applying statistical methods to marketing measurement, attribution modeling, and related incrementality/experiment design problems.
  • Experience in building or optimizing large-scale A/B testing or experimentation infrastructure.
  • Experience designing, deploying, and operating statistical/ML models that drive real business decisions at scale, including validation and monitoring.
  • Proficiency in Python/R/SQL and modern data platforms (BigQuery, Snowflake), familiarity with MLOps practices and data pipeline orchestration tools.
  • Strong communication skills, with the ability to explain complex statistical concepts to customers and internal stakeholders.
  • Bonus: Experience in enterprise Martech, AdTech, B2B SaaS, or adjacent industries dealing with complex attribution challenges.
  • Bonus: Experience with identity resolution across web, mobile, and offline channels.
  • Bonus: Background with graph neural networks, deep learning applications.