5 часов назад
Director, Data Science (AI/Advertising)
198 500 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data Science (AI/Advertising): Leading the science strategy and production implementation for onsite and offsite advertising systems with an accent on ranking, real-time bidding, budget optimization, ROAS, and modern AI. Focus on building LLM and generative AI production systems, optimizing marketplace performance across shopper experience and advertiser outcomes, and leading rigorous experimentation and scalable ML deployment.
Location: Bellevue, Washington, USA
Salary: $198,500–$300,000 per year, plus eligible equity and bonus
Company
operates an ecommerce platform for pet parents and partners, with advertising as a core growth business.
What you will do
- Own the data science strategy, roadmap, model portfolio, delivery, and scientific quality for onsite and offsite advertising.
- Lead, grow, and mentor a high-performing team of data scientists while setting standards for modeling, experimentation, MLOps, and production delivery.
- Develop supply-side systems for search, relevance, ranking, real-time bidding, bid boosting, premium positioning, and dynamic auctions.
- Develop demand-side systems for budgeting, pacing, budget allocation, keyword and bid recommendations, campaign automation, and ROAS optimization.
- Define and deliver AI and GenAI initiatives including generative creative assistance, LLM-powered recommendations, advertiser copilots, and retrieval-augmented systems.
- Partner with Product and Engineering to ship scalable systems, establish experimentation frameworks, and communicate strategy and tradeoffs to senior leadership.
Requirements
- Advanced degree in a quantitative field such as computer science, machine learning, statistics, operations research, applied mathematics, or data science, or 10+ years of experience building and leading large-scale ML or optimization systems.
- Experience leading data scientists or applied scientists and owning end-to-end production science delivery, ideally in advertising, search, recommendations, personalization, or marketplace systems.
- Deep experience with modern machine learning for ranking and prediction at scale, including deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation.
- Experience with advertising optimization systems involving auctions, real-time bidding, pacing, budget allocation, keyword and bid recommendations, campaign optimization, and ROAS optimization.
- Experience productizing LLMs or generative AI, including RAG, agentic workflows, evaluation harnesses, and quality or safety controls.
- Strong mathematics, statistics, scientific-method, distributed training and serving, communication, and cross-functional leadership skills.
Nice to have
- Experience in digital advertising, retail media, sponsored products, ecommerce, or retail marketplaces.
- Experience with AWS SageMaker or equivalent cloud ML platforms and modern GenAI tooling.
- Track record of hiring and developing senior scientific talent.
Culture & Benefits
- Medical, dental, vision, life, disability, and other insurance programs.
- 401(k) with company matching, equity eligibility, and potential annual bonus.
- Paid time off, six paid holidays, and unlimited PTO for exempt salary team members subject to manager approval.
- Parental leave, family services, backup dependent care, flexible spending accounts, telemedicine, wellness programs, and employee assistance.
- Employee discounts, including pet insurance and purchases at .com.
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