Mgr Data Science, AI Focus

Sony Pictures Entertainment (SPE) is home to some of the worlds most beloved films and television series. From Cobra Kai to The Night Agent our content reaches millions worldwide. Behind the scenes our Insights Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment.

Were looking for a Data Scientist with expertise in Gen AI and advanced machine learning to join our team. Youll work on high-impact projects that combine advanced analytics machine learning and experimentation to drive smarter decisions across SPEs production and content distribution businesses. This role will be specifically focused on applying LLMs agentic AI frameworks and next-gen modeling techniques to unlock new ways of analyzing content and data science operational workflows.

What Youll Do:

• Develop and deploy AI/ML models including generative AI approaches to solve media and entertainment business challenges.
• Apply LLMs prompt engineering and fine-tuning to tasks such as text analysis summarization metadata enrichment and content tagging
• Research prototype and test agentic AI frameworks that automate workflows and accelerate data-driven decision making.
• Build and deploy predictive models and advanced analytics that guide business and creative strategies.
• Explore and analyze large complex datasets to uncover audience insights and optimize content adoption.
• Manage cleansing and feature extraction of large unstructured data and develop insights on top of it
• Partner with engineers to productionalize machine learning models and monitor performance.
• Create clear compelling visualizations and communicate insights to both technical and non-technical audiences.
• Collaborate with cross-functional partners (marketing distribution strategy finance) to translate data insights into real-world business actions.
• Research and test emerging machine learning techniques (e.g. natural language processing deep learning) to keep SPE at the cutting edge.
• Champion data-driven decision making within the organization by presenting findings to senior leaders.
• Stay at the forefront of GenAI research and tools and champion adoption across the ISA team.

What Were Looking For:

• Bachelors degree in a quantitative field (Statistics Computer Science Engineering Math etc.); advanced degree a plus.
• 6 years of applied experience in data science analytics or machine learning.
• Strong proficiency in Python and SQL.
• Hands-on experience with generative AI (LLMs prompt engineering fine-tuning) and familiarity with open-source frameworks (Hugging Face LangChain etc.).
• Experience with statistical modeling and building predictive models.
• Experience with MLOps practices model lifecycle management containerization workflow orchestration (Airflow Kubeflow).
• Excellent communication skills ability to turn complex data into actionable recommendations.
• In depth knowledge of machine learning techniques variable reduction feature importance and model interpretability
• Highly analytical results oriented have superior organizational skills with strong attention to details and deadlines in a fast-moving environment

Nice to have:

• Experience in the media & entertainment industry.
• Familiarity with data visualization tools (Tableau Power BI Dash or Shiny).
• Experience applying GenAI for audience research recommendation systems or content insights.

Why Join Us

• Shape the future of entertainment your work will directly influence how audiences around the world discover and enjoy Sony content.
• Collaborate with a diverse team of scientists engineers and strategists solving exciting real-world challenges.
• Be part of a culture that values curiosity innovation and continuous learning with access to professional development and cutting-edge tools.
• Enjoy the benefits of working at a global studio while contributing to projects that matter.

Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex national origin disability veteran status age sexual orientation gender identity or other protected characteristics.

SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.

To request an accommodation for purposes of participating in the hiring process you may contact us at