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The L.A. Times is looking for a Data Scientist to develop data-driven insights and tools that enhance user experiences and inform business decisions.

Requirements

• Demonstrated experience building and evaluating predictive models using statistical and machine learning methods.
• Proficiency in Python (e.g., pandas, scikit-learn) and SQL.
• Experience working with cloud-based platforms such as AWS, GCP, or Azure for data storage and compute.
• Knowledge of software development practices including version control, model tracking, and deployment tools (e.g., Docker, CI/CD, MLflow).
• Experience with media, digital publishing, or subscription-based products.
• Familiarity with recommendation systems or personalization models.
• Exposure to LLM applications or natural language processing frameworks (e.g., Hugging Face, AWS Bedrock)

Responsibilities

• Design, develop, and deploy models, algorithms, and data-driven solutions that address business and product needs.
• Apply statistical and machine learning techniques to improve user engagement, drive subscription growth, and evaluate product performance.
• Conduct exploratory data analysis and performance evaluation to ensure model accuracy and reliability.
• Collaborate with data engineers, analysts, and stakeholders to integrate data science solutions into production systems and workflows.
• Develop clear visualizations, reports, and presentations that communicate insights to technical and non-technical audiences.
• Support experimentation and A/B testing by designing experiments and interpreting results to guide decision-making.
• Maintain documentation, reproducibility, and version control best practices for all deliverables.

Other

• Bachelor’s degree or higher in Data Science, Statistics, Computer Science, or a related STEM field.
• 3+ years of relevant industry experience in data science roles, OR 1+ with a master’s or PhD degree.
• Strong analytical and problem-solving skills with the ability to translate data insights into business recommendations.
• Excellent written and verbal communication skills; ability to present findings to both technical and non-technical audiences.
• Travel requirements not mentioned