Data Scientist (Marketing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (Marketing): Architecting and leading the technical execution of marketing data science projects with an accent on Media Mix Modeling (MMM), User Lifetime Value (LTV), and causal inference. Focus on building scalable production ML solutions, developing MLOps tooling, and optimizing marketing effectiveness through advanced statistical modeling.
Location: Hybrid in San Francisco, CA (Office-centric schedule: Monday, Tuesday, Thursday in office)
Salary: $202,000 - $230,000
Company
is a leading platform for human + AI collaboration used by millions of teams worldwide to achieve their goals.
What you will do
- Architect and lead the technical execution of the Marketing Data Science roadmap, including MMM, LTV, Causal Inferences, and Spend Optimization engines.
- Set the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability.
- Mentor data scientists in navigating complex modeling challenges and establishing robust ML Ops.
- Develop and standardize MLOps tooling to deploy, monitor, and maintain multiple production models efficiently.
- Research and implement state-of-the-art models to enhance marketing effectiveness.
- Collaborate with Data Engineering and Platform teams to influence the required MLOps infrastructure.
Requirements
- Bachelor's degree in Math, Statistics, Computer Science, Engineering, or a related quantitative field.
- 4+ years of experience in a data science role driving large-scale production projects.
- 3+ years of experience designing and deploying marketing models (e.g., MMM, LTV, MTA, Uplift).
- Expert knowledge in advanced statistical modeling, causal inference, and experimental design.
- Expert proficiency in SQL and Python.
- Must be based in San Francisco for a hybrid office-centric schedule.
Nice to have
- Experience with MLOps tools such as MLFlow.
- Proficiency in statistical languages like R.
- Experience with distributed data processing systems such as Spark and Redshift.
Culture & Benefits
- Comprehensive compensation package including equity and annual pay equity audits.
- Mental health, wellness, and fitness benefits.
- Career coaching and professional support.
- Inclusive family building benefits.
- Long-term savings and retirement plans.
- In-office culinary options.
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