Data Scientist II
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Job Location:
Culver, CA - USA
Monthly Salary:
$ 112 - 146
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 statistics 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.
What Youll Do:
Explore and analyze large complex datasets to uncover audience insights and optimize content adoption.
Build and deploy predictive models and advanced analytics that guide business and creative strategies.
Manage cleansing and feature extraction of large unstructured data and develop insights on top of it
Apply LLMs prompt engineering and fine-tuning to tasks such as text analysis summarization metadata enrichment and content tagging
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 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 data science 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.
Proficiency in Python and SQL.
Expertise with statistical modeling and building predictive models.
In depth knowledge of machine learning techniques variable reduction feature importance and model interpretability
Experience with MLOps practices model lifecycle management containerization workflow orchestration (Airflow Kubeflow).
Familiarity with generative AI (LLMs prompt engineering fine-tuning) and open-source frameworks (Hugging Face LangChain etc.).
Excellent communication skills ability to turn complex data into actionable recommendations.
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
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
The toga lady holds her torch high for film audiences everywhere by representing Columbia Pictures, the studio through which Sony Pictures Entertainment produces its big budget movies. The studio was founded in 1924, and in 1982 it was purchased by Coca-Cola. Sony purchased ...
