Ever since the global privacy landscape changed in the last few years, having first-party data has become a requirement for e-commerce businesses. Northbeam steps in to provide our clients with the solution for their data needs, and it pays off. As a result, we’ve been seeing some unprecedented growth. We need your help in order to build the product that’s going to power the great ecommerce brands of the future and today.
We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more.
You can expect to work on the following:
- Media mix modeling: understanding the relationship between our clients' marketing inputs and marketing outputs (sales, revenue), as well as quantifying the inherent uncertainty involved
- Communicating the model and its implications to non-technical stakeholders
- Working with our data engineering and product teams to productize the above for our growing customer bas
Requirements
- Expertise with Python
- Strong skills in statistics, probability, and/or machine learning
- Experience with differentiable programming or probabilistic programming (e.g. Tensorflow, Pytorch, JAX, Pyro, PyMC)
- Ability to clearly communicate results to non-technical audiences, in English
- Experience (or enthusiasm) with working in a small, fast-paced company
Good to Have:
- MS or PhD with research focus on quantitative or statistical methods
- Experience working with marketing data
Values:
- Growth mindset - we’re always learning and growing
- Customer focus - we want to make the customer happy with our product
- Ownership mentality - we think like owners in the business
- Radical candor - we’re transparent and give direct feedback to one another
- Empathic disposition - we’re kind to one another and help each other grow
Benefits
- Significant equity package
- Generous base salary
- Healthcare Benefits (medical, dental, vision)
- Travel to meet with the team
