
Staff Data Scientist
Northbeam
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $130,000 - $230,000 per year
Job Level
About the role
- Support the development and evolution of marketing intelligence products
- Contribute to core systems that help businesses understand marketing effectiveness
- Operate across the full lifecycle—from researching to productionizing models
- Collaborate closely with the Head of Insights, Product, Engineering and Design
- Build, improve, and maintain production-grade data science models
- Enhance the accuracy and robustness of existing MMM pipelines
- Design and implement optimization algorithms
- Analyze customer measurement data to surface insights
- Explain statistical concepts and troubleshoot measurement issues
- Provide technical expertise and guidance to stakeholders
Requirements
- Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred)
- 6+ years of experience in data science or machine learning roles
- Strong foundation in statistics, machine learning, and causal inference
- Hands-on experience applying methods to real business problems (e.g., regression, time series analysis, A/B testing, Bayesian modeling)
- Familiarity with optimization techniques (e.g., linear programming, mixed-integer programming, etc.)
- Proficiency in Python and/or R, SQL
- Experience with modern data platforms and statistical modeling libraries
- Comfort making changes to live models and pipelines
- Interest in marketing measurement, including MMM and incrementality
- Thrives in a small, fast-paced environment
- Strong communication skills, with comfort explaining technical concepts to non-technical audiences
Benefits
- equity package
- comprehensive healthcare benefits (medical, dental, and vision)
- 401(k) plan
- flexible PTO policy
- 12 company-paid holidays
- 12 weeks of paid parental leave
- $500 work-from-home stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningstatisticscausal inferenceregressiontime series analysisA/B testingBayesian modelingoptimization techniquesPython
Soft Skills
strong communication skillscollaborationproblem-solvingtechnical expertisestakeholder guidanceadaptabilityanalytical thinkingexplanation of technical conceptsteamworkthrive in fast-paced environment