Sr. Software Engineer

Sr. Software Engineer

Location: Santa Monica, CA (Hybrid – 4 days onsite, 1 day remote)

Pay Rate: $80–$83/hour

Duration: Estimated 19-month contract

Recruiting Agency: Professional Search Group (PSG)

About the Role

Professional Search Group is seeking a Sr. Software Engineer on behalf of our client, a major company in the entertainment industry. This role supports the Direct-to-Consumer Data & Analytics organization, helping improve content strategy and subscriber engagement through data and machine learning.

The ideal candidate is an engineering-focused professional with strong SQL and Python or R skills, experience developing production-ready machine learning models, and a sharp eye for data quality. You’ll optimize models, build reliable data pipelines, and ensure analytical outputs are accurate, efficient, and meaningful to business decisions.

What You’ll Do

• Develop, optimize, and deploy production-ready machine learning models that predict content engagement and subscriber lifetime value.
• Write efficient SQL and Python or R code to analyze large-scale datasets and improve model performance.
• Perform quality assurance, investigate anomalies, and validate data outputs for accuracy and reliability.
• Build, maintain, and automate scalable data pipelines and workflows.
• Enhance forecasting, causal inference, and analytical products that support strategic business decisions.
• Collaborate with engineers, data scientists, and business stakeholders to communicate findings and drive results.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of analytical and quality assurance experience.
• 5+ years developing, optimizing, and deploying production-ready machine learning models using Python and/or R.
• 5+ years querying cloud-hosted databases using SQL, with strong SQL skills.
• Experience with machine learning, statistical analysis, anomaly detection, and data validation.
• Strong engineering fundamentals, efficient coding practices, and experience maintaining reliable data pipelines.
• Familiarity with technologies such as Snowflake, Databricks, Spark, dbt, Airflow, or Jupyter Notebooks.
• Excellent communication skills, attention to detail, and the ability to connect technical findings to business outcomes.

Nice to Have: Experience with MLOps, model versioning, causal inference, and a passion for film and television.

The Ideal Candidate

You’re a technically strong engineer who enjoys solving complex problems, investigating unexpected data, and ensuring results make business sense. You combine strong coding skills with analytical judgment and thrive in a collaborative, fast-paced environment.