2 часа назад
Senior Data Scientist (AdTech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AdTech): Building statistical and machine learning models, experimentation systems, and real-time insights for a mobile advertising marketplace with an accent on audience segmentation, bid optimization, measurement, and attribution. Focus on designing causal experiments, developing time-series and event-understanding models, and productionizing recommendations with engineering and product partners.
Location: United States — New York; hybrid work environment, and only candidates local to the posting location will be considered
Company
provides a mobile advertising platform connecting advertisers, app publishers, telecoms, OEMs, carriers, consumers, and devices.
What you will do
- Frame ambiguous business problems as testable data and modeling questions that inform product and commercial strategy.
- Design and analyze A/B and other experiments while helping establish a centralized experimentation tracking platform.
- Build statistical and machine learning models for audience segmentation, bidding and user-acquisition optimization, lifetime value, measurement, and attribution.
- Develop time-series and real-time event understanding to improve recommendations and bidding relevance.
- Partner with ML and Data Engineering to productionize models and integrate insights into the Next Best Action framework.
- Communicate findings to technical and executive audiences and mentor analysts and scientists.
Requirements
- 8+ years of experience in data science or quantitative analysis.
- Strong knowledge of experimental design, hypothesis testing, causal inference, and statistical and machine learning modeling.
- Experience with regression, classification, clustering, and time-series models.
- Fluency in SQL and Python or R, with experience working with large-scale data in cloud data warehouses or lakes.
- Strong problem-solving, communication, and stakeholder-influence skills.
Nice to have
- Experience with Databricks, Spark, or semantic-layer and metrics platforms.
- Background in bidding, auctions, recommendations, or measurement and attribution.
- Experience establishing experimentation tooling or analytics infrastructure.
- Experience in AdTech, marketplaces, or consumer-scale products.
Culture & Benefits
- Hybrid work environment based in New York for this role.
- Collaboration with engineering, product, business, ML, and Data Engineering teams.
- Inclusive environment focused on diversity, equity, and culturally fluent collaboration.
- Global company with offices in the United States, United Kingdom, Germany, Singapore, Israel, and other locations.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →