Director of Data Science, Northbeam
$230-280k
+ Equity Package
More information about location
Marketing intelligence platform
Be an early applicant
Marketing intelligence platform
21-100 employees
Be an early applicant
$230-280k
+ 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, 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
Desirable
- 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
What the job involves
- 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
- 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
Application process
- We accept applications on an ongoing basis
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 10 more jobs at Northbeam