Position: Senior Data Scientist Duration: 12+ month contract Location: Burbank, CA (Hybrid) Compensation: $80.00-$99.00/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the US. What We Do/Project As a Senior Data Scientist within the Studio Economics program, you will play a hands-on role developing, iterating, and deploying predictive models that support financial forecasting, content performance analysis, and sales planning. Operating within a Lean-Agile and user-centric environment, you will collaborate closely with business users, product owners, and technical teams to ensure that data science solutions are intuitive, explainable, and directly tied to business outcomes. With a strong foundation in financial processes and data systems, you will help bridge the gap between advanced analytics and the real-world decisions made by Studios' finance and sales teams. Job Responsibilities / Typical Day in the Role 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. Must Have Skills / Requirements 1. Proficiency in Python and common ML libraries. a. 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. 1. Exposure to Generative AI models. a. 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. 1. Familiarity with AWS tools. a. 4+ Years of experience. Nice to Have Skills / Preferred Requirements 1. SQL fluency is a plus. Soft Skills 1. Strong curiosity and adaptability to thrive in an iterative, experimental environment, testing hypotheses and adjusting approaches based on user needs. 1. Strong communication skills, with the ability to translate data science work into business impact and incorporate user feedback effectively. Education / Certifications 1. None required. Years experience: 4-6 years of experience in data science, with exposure to financial modeling and forecasting a strong advantage. Required background/ Skillsets: Strong curiosity and adaptability to thrive in an iterative, experimental environment, testing hypotheses and adjusting approaches based on user needs. Strong communication skills, with the ability to translate data science work into business impact and incorporate user feedback effectively. Our benefits package includes: • Comprehensive medical benefits • Competitive pay • 401(k) retirement plan • ...and much more! About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities