Northbeam
Staff Data Scientist
Job Description
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
