Senior Data Scientist (Machine Learning / MLOps)

Senior Data Scientist (Machine Learning / MLOps)

Location: Glendale, CA, (onsite 2–4 days per week)

Pay: $100–$105/hour

Type: Estimated 12-month contract, W2 employee of PSG

Work Authorization: Must be authorized to work in the U.S.

About the Role

Professional Search Group (PSG) is hiring a Senior Data Scientist for a major entertainment studio. You’ll build and deploy machine learning models that support financial and operational decisions across studio operations. This role covers both building models and putting them into production, so you should be comfortable taking a model from development through to a repeatable, scalable deployment.

Must-Have Skills

• Machine learning: a proven track record building ML models. This is the top priority for the hiring manager.
• Python: expert-level with scikit-learn, NumPy, pandas, and other ML libraries.
• Snowflake: hands-on experience working in Snowflake-based environments.
• MLOps: experience deploying, monitoring, and maintaining ML models in production.
• 5+ years in data science with successful projects delivered.

What You’ll Do Day to Day

• Develop ML models and advanced analytics for financial and operational business use cases.
• Deploy and operationalize models, partnering with engineering to make solutions repeatable, maintainable, and scalable.
• Build end-to-end pipelines covering data extraction, feature engineering, model training, testing, and deployment.
• Monitor model performance and keep production models healthy.
• Turn complex findings into clear insights and visuals for business leaders and technical stakeholders.
• Mentor other engineers and data scientists.

Nice to Have

• Financial forecasting models
• Databricks or BigQuery
• dbt, Airflow, Streamlit
• Master’s degree in a quantitative field

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.