About Us
Northbeam is building the world’s most advanced marketing intelligence platform for growth. Our marketing measurement technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably.
Northbeam’s team and customer base are growing quickly, and it’s essential that we invest in the right people & systems to scale our business. Our business has found incredible product-market fit and continues to grow rapidly.
Northbeam is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us! We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more.
About the Role
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.
About YouRequirements
- 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
Good to Have
- MS, PhD, or academic research experience with a focus on quantitative or statistical methods
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
- Equity package
- Generous base salary
- Healthcare Benefits (medical, dental, vision)
- Travel to meet with the team
- Flexible PTO Policy
- 12 Company Paid Holidays
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