Principal Data Scientist, Northbeam
$230-250k
+ Equity package
More information about location
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
$230-250k
+ Equity package
More information about location
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- 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, translating technical nuance into business confidence
Desirable
- Experience in enterprise Martech, AdTech, B2B SaaS, or adjacent industries dealing with complex attribution challenges
- Experience with identity resolution across web, mobile, and offline channels
- Background with graph neural networks, deep learning applications
What the job involves
- We are seeking a Principal Data Scientist to own the science behind how we measure marketing effectiveness at scale
- You will turn ambiguous attribution problems into reliable systems that drive confident business decisions, both across our organization and for our customers
- This is a hands-on technical lead role where you'll advance the state-of-the-art in marketing measurement while ensuring our current systems deliver exceptional accuracy and reliability
- You will serve as the technical architect for attribution methodologies, experiment design, and statistical inference—balancing cutting-edge research with practical business impact
- Working closely with engineering teams, you'll drive both the optimization of existing attribution systems and the development of next-generation capabilities including AI-powered measurement techniques
- 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
- 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 (respectively) 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
Our take
Traditionally in-person stores used a plethora of consultants, accountants and agencies to seek improvements that would boost their bottom line. Now, in the age of internet-enabled commerce, data richness and a totally new customer acquisition landscape has made those services irrelevant.
Instead, startups like Northbeam have emerged to fulfil those roles for the modern age. In particular, Northbeam provides services for eCommerce intelligence. That means applying machine learning and first-party data to drive more efficient and scalable marketing strategies.
Northbeam received substantial funding in 2022 that is being used to expand its machine-learning capabilities, especially since the 2021 Apple iOS updates. These updates made it more difficult for brands to track consumer behavior across the internet and to accurately advertise to the users most likely to buy their products. Machine learning advances will undoubtedly help Northbeam get ahead of this curve.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Aug 2022
$15m
SERIES A
Total funding: $15m
Company HQ
SoMa, San Francisco, CA
Leadership
Austin Harrison
(CEO)Previously helped build the first audience panel for NetRatings which went public in 1999 and Nielsen acquired the last 40% in 2007 for $327M.
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