Staff Software Engineer, Northbeam
Data Science
+ Equity
Marketing intelligence platform
Open for applications
Marketing intelligence platform
21-100 employees
Open for applications
+ Equity
21-100 employees
Company mission
The new standard for eCommerce intelligence.
Role
Who you are
- Bachelor's degree in Mathematics, Computer Science, or a highly quantitative STEM field
- Strong first-principles understanding of statistics, linear algebra, probability, and machine learning
- Experience with at least three of the following: regression, time series analysis, causal inference, statistical testing, Bayesian modeling, optimization, signal processing
- Strong programming skills, and ability to implement data science solutions within a production codebase using clean, interpretable, and maintainable code
- Expertise in Python
- Minimum 4+ years of professional experience as a data scientist, ML engineer, or quant
- Experience with (or enthusiasm about) in a small, fast-paced company, and leading the implementation of projects start-to-finish in a results driven startup environment
- Experience with differentiable programming or probabilistic programming (e.g., TensorFlow, PyTorch, JAX, Pyro, PyMC)
- Experience with low-level numerical programming and optimizing code written using tensor libraries
- Experience in working with cloud infrastructure such as Google Cloud Platform, Azure, and AWS
- Expertise in software architecture, distributed systems architecture, or data engineering
Desirable
- MS, PhD, or academic research experience with a focus on quantitative or statistical methods
What the job involves
- As a staff-level team member on Marketing Science, you can expect to work on the following:
- Lead R&D for new and existing data science powered products at Northbeam
- Collaborate with our engineering and product teams to take working proofs of concept into production for our growing customer base
- Provide technical expertise and support for non-technical stakeholders (internal and external)
- Educate colleagues in other departments about the use of data science in marketing and advertising
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
Insights
Few candidates hear
back within 2 weeks
112% employee growth in 12 months
Company
Funding (1 round)
Aug 2022
$15m
SERIES A
Total funding: $15m
Company HQ
SoMa, San Francisco, CA
Articles
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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