15 часов назад
Data Scientist (AI)
130 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI): Building and scaling marketing measurement products using causal inference, experimentation, predictive modeling, and machine learning with an accent on customer-facing analysis and production-quality tooling. Focus on diagnosing data and measurement issues, explaining statistical results, and developing scalable methodologies and diagnostic capabilities.
Location: Remote - USA
Base salary: $130,000–$160,000 USD per year
Company
builds a marketing intelligence platform for eCommerce brands, combining attribution modeling, marketing mix modeling, incrementality, first-party data, and AI-driven insights.
What you will do
- Partner with customers and internal teams to translate marketing measurement questions into data science problems.
- Validate customer data and analyze model and experiment results, investigating unexpected outcomes and measurement issues.
- Explain statistical and modeling results clearly and turn them into actionable recommendations.
- Build reusable analysis and diagnostic tools that improve the reliability and scalability of measurement.
- Collaborate with Data Science, Media Strategy, Customer Success, Product, and Engineering teams.
- Contribute to new methodologies, models, tooling, and production measurement capabilities.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field; an MS is preferred.
- 2+ 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, debugging, communication, and customer problem-solving skills.
- Ability to write production-quality code and diagnose issues across source data, pipelines, model logic, and customer-facing outputs.
- Comfort working autonomously in a fast-paced startup environment.
Nice to have
- Direct client- or customer-facing experience.
- Experience in digital marketing or eCommerce analytics.
- Robust statistical background and familiarity with marketing measurement methodologies.
Culture & Benefits
- Remote-friendly work environment with physical offices in San Francisco and Los Angeles.
- Equity package and comprehensive medical, dental, and vision benefits.
- 401(k) plan, flexible PTO, 12 company-paid holidays, and 12 weeks of paid parental leave.
- $500 work-from-home stipend.
- Collaborative environment focused on personal growth, autonomy, and excellence.
Hiring process
- 30-minute recruiter interview followed by a video interview with the hiring manager.
- Role-specific video interview followed by video or onsite interviews with team members.
- Final video interview with the CEO/co-founder; the process typically includes 5–7 interviews and requires approximately 5–8 hours.
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