обновлено 5 дней назад
Senior Data Scientist (AI)
170 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building and scaling production measurement systems for marketing intelligence products including MMM, incrementality, insights, and recommendation systems with an accent on statistical modeling, causal inference, and reliable deployment. Focus on translating methodologies into customer-facing capabilities, debugging full-stack data and production issues, and owning systems through operational support.
Location: Remote - USA
Base salary: $170,000–$200,000 USD per year
Company
builds a marketing intelligence platform for eCommerce brands, combining attribution modeling, first-party data, customizable dashboards, machine learning, and AI-driven measurement products.
What you will do
- Build, deploy, and maintain production systems for MMM, incrementality, insights, and recommendation products.
- Translate statistical and causal inference methodologies into scalable, reliable customer-facing capabilities.
- Improve measurement accuracy, coverage, reliability, and operational robustness.
- Debug issues across source data, pipelines, model logic, production services, and customer-facing outputs.
- Evaluate methodological improvements while balancing rigor, complexity, maintainability, and business value.
- Partner with Data Science, Engineering, Product, and Customer Success, explain statistical concepts to customers, and support measurement issues.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field; an MS or PhD is preferred.
- 5+ years of experience building and deploying data science, machine learning, or AI systems in production.
- Strong foundations in statistics, machine learning, experimentation, and causal inference.
- Strong coding and debugging skills with experience writing maintainable, testable, and reliable production-quality code.
- Experience owning projects end-to-end, from problem definition and methodology evaluation through deployment and operational support.
- Strong communication skills, autonomy, intellectual curiosity, and comfort working in a fast-paced startup environment.
Culture & Benefits
- Remote-friendly work with physical offices in San Francisco and Los Angeles.
- Equity package and comprehensive medical, dental, and vision healthcare benefits.
- 401(k) plan, flexible PTO, 12 company-paid holidays, and 12 weeks of paid parental leave.
- $500 work-from-home stipend.
Hiring process
- Typically begins with a 30-minute recruiter interview and a hiring manager video interview.
- Continues with a role-specific video interview and video or onsite interviews with team members.
- Concludes with a video interview with the CEO/co-founder; the process usually includes 5–7 interviews and requires approximately 5–8 hours.
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