Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Leading end-to-end data science projects from ideation to deployment with an accent on building scalable ML pipelines and customer-centric AI solutions. Focus on integrating LLMs and generative AI into production systems to drive actionable business insights and product strategy.
Location: Hybrid (New York)
Company
is a leading AI marketing platform for the Fortune 500, building tools to help brands engage consumers in the evolving AI-driven internet ecosystem.
What you will do
- Lead end-to-end data science projects from problem definition to deployment.
- Design, build, and maintain scalable data workflows and ML systems independently.
- Drive customer-focused experimentation, including A/B testing and causal inference.
- Identify and research new opportunities for AI-driven product improvements.
- Collaborate cross-functionally with engineering, product, and design teams.
- Integrate cutting-edge LLMs and generative AI models into production environments.
Requirements
- 5+ years of experience in data science with a track record of production-level delivery.
- Proven ability to work independently and own the full data science lifecycle.
- Strong proficiency in Python, SQL, and ML frameworks like PyTorch and Scikit-learn.
- Experience with LLMs or generative AI in real-world applications.
- Deep understanding of experimentation techniques and business pragmatism.
- Excellent communication skills for advocating data-driven decisions.
Culture & Benefits
- Opportunity to join a fast-moving startup at the center of the AI revolution.
- Work on challenging problems in the $300BN mar-tech industry.
- High-performing team environment with immediate ownership and impact.
- Meritocratic culture with significant career growth potential.
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 →