Data Scientist, Northbeam
$130-160k
+ Equity package
More information about location
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
$130-160k
+ Equity package
More information about location
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- Bachelor's degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field
- 2+ years experience in Data science and ML roles
- Solid foundation in statistics, machine learning, and causal inference with experience applying these methods to business problems. Examples: regression, time series analysis, A/B testing, Bayesian modeling, signal processing
- Proficiency in Python/R, SQL, and experience with data platforms and statistical modeling libraries
- Experience with (or enthusiasm about) working in a small, fast-paced company, and desire to drive the implementation of projects start-to-finish
- Strong growth mindset, desire to learn marketing measurement concepts
- Comfort explaining technical concepts to non-technical audiences and troubleshooting customer issues
Desirable
- Any experience in marketing attribution, MMM, experimentation, or related measurement challenges
- Experience developing and validating production models that drive real business decisions
- Familiarity with MLOps practices and data pipeline orchestration tools
What the job involves
- We are seeking a Data Scientist to support our marketing intelligence product, working directly with both customers and internal teams to deliver reliable measurement solutions
- In this role, you’ll contribute to the core systems that help businesses understand marketing effectiveness, while flexibly shifting between technical implementation and customer support as needs evolve
- You’ll be supported through mentorship from senior team members on complex challenges, with opportunities to take ownership of technical projects as you grow your expertise in marketing measurement and technical translation
- Support both new and existing data science–powered products
- Contribute to forecasting and experimentation capabilities, improving model accuracy and expanding measurement coverage
- Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to enhance Northbeam's product suite
- Collaborate with engineering and product teams to translate customer needs into technical requirements
- Provide technical expertise and support for non-technical stakeholders, both internal and external
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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