Technology and Operations - Data Scientist IV

Mindlance; Burbank (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A leading company in the entertainment sector seeks a Senior Data Scientist to innovate in predictive modeling to enhance financial forecasting and content performance analysis. The successful candidate will work in a hybrid environment, collaborating across functions to bridge advanced analytics with real-world business decisions. Candidates should possess proficiency in Python and ML libraries, as well as experience with Generative AI, making impactful contributions to financial planning and decision-making processes.

Qualifications

• 4+ years of experience with ML Libraries and Python.
• Hands-on experience building predictive models with Generative AI.
• Familiarity with AWS tools is beneficial.

Responsibilities

• Develop and refine predictive models for forecasting content performance.
• Engage with business users for model development and interpretation.
• Collaborate in deploying models and monitoring their performance.

Skills

Proficiency in Python

Generative AI exposure

Familiarity with AWS tools

SQL fluency

Strong communication skills

Adaptability

Education

None required

Job description

Job Description: Business Unit/Group: Studio Economics - Data Science
Intended Start Date: 7/2/2025
Contract Duration: 1-year


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.
2) 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.
3) 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.
2) Strong communication skills, with the ability to translate data science work into business impact and incorporate user feedback effectively.

Education / Certifications
1) None required.

Interview Process / Next Steps
1) At least 2 rounds, possibly 3.
a. DS lead from India will interview.
b. DS consultant will interview.
c. Last interview with head of DS Division (if they are available).

Additional Notes
• Sourcing in LA – Burbank.
• Hybrid requirement, but not days of the week specified.
Comments for Suppliers:

EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”