What are the responsibilities and job description for the Staff Software Engineer, Data Science position at Northbeam LLC?
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 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
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
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