Data Science Manager (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Science Manager (AI/ML): Leads and mentors a team of data scientists focused on experimentation and causal inference, shaping decision-making and product innovation. Focus on driving innovation in methodologies, advancing experimentation infrastructure, and applying statistical and machine learning methods to complex real-world constraints.
Location: Must be eligible to work in the United States (inferred from the Equal Opportunity Statement and lack of explicit global remote options).
Company
is a global leader in entertainment, producing the PlayStation family of products and services.
What you will do
- Lead and mentor a team of data scientists focused on experimentation and causal inference.
- Drive innovation in experimentation methodologies and frameworks to improve quality, speed, and scalability.
- Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods.
- Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities.
- Contribute directly to research and prototyping of novel experimentation techniques addressing complex real-world constraints.
- Champion the growth of a data-driven culture by advocating for experimentation standards and ethical practices.
Requirements
- Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field; Ph.D. preferred.
- 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
- Proficiency in SQL and statistical programming languages (e.g., R or Python) for causal inference, experimental analysis, and scalable modeling.
- Expertise in causal inference techniques and designing both randomized and quasi-experiments.
- Demonstrated ability to collaborate cross-functionally and influence data strategies.
- Excellent communication and storytelling skills, especially for non-technical stakeholders.
Nice to have
- Strong familiarity with the gaming industry and contemporary gaming experiences.
- Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
Culture & Benefits
- Opportunity to lead people and innovation in experimentation and causal inference.
- Be part of an inclusive environment that empowers employees and embraces diversity.
- Help shape the future of decision-making and product innovation at SIE.
- Contribute to delivering player-first experiences through strong evidence-based decisions.
- Work within a team that champions a data-driven culture and ethical practices.
- Sony is an Equal Opportunity Employer.
Hiring process
- conducts background checks at the offer stage for all new employees.
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 →