Staff Data Scientist

About Us

Northbeam is building the world’s most advanced marketing intelligence platform for growth. Our attribution modeling 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. This is a career-defining opportunity for an experienced analyst to accelerate their growth and contribute to a rapidly-scaling company.

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

You can expect to work on the following:

• 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 base
• Work with our customers, product managers, product engineers, and customer support, to scope, build, and iterate high value solutions.
• Provide technical and expertise support with customers in related fields.

About You

Requirements

• Expertise with Python
• Strong skills in mathematics/ 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
• 6+ years experience

Good to Have

• MS or PhD with research focus on quantitative or statistical methods
• Prior experience working in marketing data, e-commerce, or ad-tech
• Experience working with cloud infrastructure such as Google Cloud Platform, Azure, or AWS
• Prior experience working in data engineering roles/ departments 

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