Staff Software Engineer, Marketing Data Science

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 Data 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