Data Scientist

Odesus is a premier IT consulting company specializing in project staff augmentation. For over 20 years, Odesus has been the go-to company providing top quality IT consultants.

Our client in Burbank, CA is actively seeking a contract Sr. Data Scientist who will be hands-on in developing, iterating, and deploying predictive models that support financial forecasting, content performance analysis, and sales planning.

Responsibilities

Model Development & Iteration

• Develop, test, and refine predictive models to forecast content performance and support financial planning.
• Evaluate different modeling approaches (e.g., gradient boosting, regression) based on accuracy, interpretability, and user trust.
• Rapidly iterate on hypotheses, incorporating user feedback to ensure solutions are relevant and actionable.

Exploratory Analysis & Feature Engineering

• Apply clustering, principal component analysis, and other unsupervised methods to uncover patterns in content types and performance drivers.
• Explore opportunities to use Generative AI to augment metadata tagging or enrich datasets with synthetic attributes, ensuring alignment with business objectives.

User-Centric Collaboration

• Engage business users, product owners, and design researchers in collaborative sessions to infuse models with domain expertise and integrate seamlessly into decision-making workflows.
• Present early model outputs in accessible, intuitive formats to gather feedback and ensure interpretability and trust.
• Adapt models and data pipelines based on user feedback to prioritize usability and adoption.

Production Deployment & Monitoring

• Collaborate with ML Engineers to deploy models as APIs and integrate them into production systems.
• Contribute to shared libraries and promote best practices across the data science team to ensure consistency and scalability.
• Implement monitoring frameworks to assess model performance over time and recommend continuous improvements.

Cross-Functional Collaboration

• Partner with product and platform pods to integrate data science models into Studio Economics solutions, supporting iterative, user-centric delivery.
• Work closely with data architects, data engineers, and platform teams to ensure seamless data flows and robust data governance.

Requirements

• Proficiency in Python and common ML libraries - 4+ Years of experience; ML Libraries (e.g., scikit-learn, XGBoost, pandas)
• Proficiency with clustering and dimensionality reduction techniques, with the ability to translate insights into business value.
• Exposure to Generative AI models. - 4+ Years of experience; AI Models (e.g., LLMs, diffusion models); Hands-on experience building predictive models, especially in scenarios with limited sample sizes and complex business constraints.
• Familiarity with AWS tools. - 4+ Years of experience.

Preferred -

• SQL fluency is a plus.

For more information and immediate consideration, apply today!