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About the role
Key responsibilities & impact- Partner with customers and internal teams to understand marketing measurement questions and translate them into data science problems
- Work with real-world customer data to ensure it is reliable and appropriate for modeling and measurement
- Analyze model and experiment results, investigate unexpected outcomes, and identify potential data, modeling, or measurement issues
- Translate complex statistical and modeling results into clear insights and actionable recommendations
- Partner with Senior Data Scientists on complex methodological and modeling problems
- Collaborate with cross-functional peers across Media Strategy, Customer Success, Product, and Engineering to support clients
- Identify recurring challenges and opportunities to improve models, diagnostics, tooling, and processes
- Build reusable analysis and diagnostic tools that make measurement more reliable and scalable
- Contribute to new methodologies, models, and production measurement capabilities as the role develops
- Explain statistical methodology, diagnose measurement issues, and communicate experimentation results to clients
Requirements
What you’ll need- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field
- 2+ years of experience building and deploying data science, machine learning, or AI systems in production
- Strong foundation in statistics, machine learning, experimentation, and causal inference
- Excellent verbal and written communication skills
- Strong coding and debugging skills
- Ability to write production-quality code and diagnose issues across the full stack
- Service-oriented mindset and direct, hands-on customer problem-solving ability
- Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy
- Growth mindset, intellectual curiosity, and willingness to learn new domains, customer verticals, and measurement methodologies
- Strong preference for a robust statistical background and prior experience in digital marketing or eCommerce analytics
- MS preferred
Benefits
Comp & perks- 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