Staff Data Scientist, Marketing Data Science

Posted:
8/5/2024, 2:11:19 PM

Location(s):
California, United States ⋅ San Francisco, California, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
Remote

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 You

Requirements

  • 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
    • Or 2+ years of professional experience as a data scientist, ML engineer, or quant and 2+ years of professional experience as a Software Engineer
  • 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
  • 2+ years of media or advertising experience
  • Ability to help internal and external stakeholders navigate the business trade-offs of technical solutions, and clearly communicate results to non-technical audiences in English
  • Ability to design and build rich visualizations to tell compelling stories with data

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