Technology and Operations - Data Scientist IV
Technology and Operations - Data Scientist IV
Posted on :
23-06-2025
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1 Vacancy
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Job Description
Business Unit/Group: Studio Economics - Data Science
Requisition Number: 18885-1
Intended Start Date: 7/2/2025
Contract Duration: 1-year
Possibility For Extension / Conversion Possible.
Max Hourly Pay Rate: BR/hr
OT Required / Expected No
WB Games Resource(s) No
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 WBD DS Division (if they are available).
Additional Notes
Sourcing in LA Burbank.
Hybrid requirement but not days of the week specified.
Requisition Number: 18885-1
Intended Start Date: 7/2/2025
Contract Duration: 1-year
Possibility For Extension / Conversion Possible.
Max Hourly Pay Rate: BR/hr
OT Required / Expected No
WB Games Resource(s) No
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 WBD DS Division (if they are available).
Additional Notes
Sourcing in LA Burbank.
Hybrid requirement but not days of the week specified.
Employment Type
Full Time
Key Skills
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