Manager of Data Science

CareerCircle
Los Angeles, CA, United States
8 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$140,005.0
Working hours
Regular working hours

Tech stack

Sql Data Warehouse Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Data Mining Data Visualization Data Warehousing Cursor (Graphical User Interface Elements) Software Debugging Programming Tools Python (Programming Language) Machine Learning
+21 more
Language Modeling Standard Sql Software Engineering SQL Databases Data Streaming Systems Integration Tableau (Software) Data Processing GitHub Copilot Large Language Models Snowflake Model Validation Generative AI Git Pandas Scikit Learn Information Technology Statistics Packages Streamlit Framework Code Restructuring Software Version Control

Job description

Authorization (Computing) SQL (Programming Language) Snowflake (Data Warehouse) Verbal Communication Skills Git (Version Control System) Employee Assistance Programs Python (Programming Language) Scikit-Learn (Python Package) Generative Artificial Intelligence Application Programming Interface (API) Tableau (Business Intelligence Software), Warner Bros. Discovery is seeking a hands-on data scientist to fill the Manager of Data Science position within our Sales organization’s Data Science team. Our Data Science team works very closely with Sales and Marketing, and in this position you will maintain and extend existing statistical and machine-learning work that informs how we window, price, and forecast content - including title-level release windowing, price optimization, and demand/revenue forecasting. Working under the direction of the VP of Data Science, you will pick up in-flight models and dashboards and keep them running and accurate. You should be comfortable in a fast-moving environment and able to balance scheduled deliverables with ad-hoc analytical requests., Data Analysis & Modeling

  • Maintain, validate, and extend existing forecasting, pricing, and windowing models built in Python (pandas, scikit-learn, statsmodels) and SQL against Snowflake.
  • Write clean, reproducible, version-controlled code (Git).
  • Automate recurring data extraction and preparation pipelines to reduce manual effort.
  • Assess model quality with appropriate validation (holdout/backtesting) and error metrics (e.g., MAPE, RMSE, bias), and flag when a model needs retraining or rework.
  • Turn analysis into clear, decision-ready storylines - visual and written - for non-technical audiences. Applying AI & GenAI in the Workflow

  • Use AI-assisted development tools (e.g., Cursor, GitHub Copilot) to accelerate coding, refactoring, and debugging while keeping a human-in-the-loop review of all output.
  • Apply large language models (LLMs) to practical, day-to-day tasks: summarizing datasets and results, drafting documentation, generating and explaining SQL/Python, and accelerating exploratory analysis.
  • Critically evaluate AI output for correctness, and follow enterprise data-privacy, security, and approved-tool guidelines when using AI on WBD data. Visualization & Application Development

  • Build and maintain Tableau dashboards that monitor content, customer, and revenue trends for Sales, Marketing, and other business stakeholders.
  • Develop self-serve interactive tools (Streamlit and/or Tableau) so partner teams can explore results without analyst support.
  • Create views of model diagnostics and archived results so the team can track model performance over time. Collaboration & Mindset

  • Partner day-to-day with Sales and Marketing to understand their questions and deliver clear, useful analysis.
  • Work under the direction of the Director and VP of Data Science, translating their priorities into delivered analyses.
  • Pivot quickly between planned work and urgent ad-hoc requests without losing rigor.
  • A strong communicator and eager learner - open to coaching and to actively growing and strengthening communication skills over the engagement., San Francisco Candidates only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

City of Los Angeles Candidates only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring.

Related Jobs Data Scientist I AGS - Warner Bros Discovery

Burbank, CA*On-Site

Sales Coaching Marketing Dashboard Debugging Economics Streamlit Pipelines Statistics Mathematics Forecasting Statsmodels Data Science Data Privacy Communication Data Analysis GitHub Copilot Version Control Data Extraction Technical Sales Computer Science Machine Learning Data Warehousing Model Validation Programming Tools Data Manipulation Data Visualization Workflow Management Revenue Forecasting Category Management Artificial Intelligence Large Language Modeling Application Development Pandas (Python Package) Authorization (Computing) SQL (Programming Language) Snowflake (Data Warehouse) Verbal Communication Skills Git (Version Control System) Employee Assistance Programs Python (Programming Language) Scikit-Learn (Python Package) Generative Artificial Intelligence Application Programming Interface (API) Tableau (Business Intelligence Software) +0 Login | JoinContact

Requirements

Coaching Marketing Dashboard Debugging Economics Streamlit Pipelines Statistics Mathematics Forecasting Statsmodels Data Science Data Privacy Communication Data Analysis GitHub Copilot Version Control Data Extraction Technical Sales Computer Science Machine Learning Data Warehousing Model Validation Programming Tools Data Manipulation Data Visualization Workflow Management Revenue Forecasting Category Management, 1) Python and SQL coding experience for data manipulation, analysis, and modeling. a. 2+ years 2) Practical experience with core ML/statistics libraries (e.g., scikit-learn, statsmodels, pandas) and standard model-validation techniques. a. 2+ years 3) Experience querying a cloud data warehouse (Snowflake preferred). a. 2+ years 4) Basic working knowledge of Tableau - the team relies on it heavily to deliver insights to Sales and Marketing. a. 2+ years 5) Comfort using and sound judgment about AI-assisted coding tools and LLMs in a professional setting. a. 2+ years 6) Version control with Git and an ability to produce reproducible work. a. 2+ years

Nice to Have Skills / Preferred Requirements 1) Experience in media, entertainment, streaming, or subscription/consumer businesses. 2) Experience supporting Sales and/or Marketing stakeholders. 3) Exposure to forecasting, pricing/elasticity, or windowing/release-strategy analytics. 4) Experience integrating LLM APIs or building simple RAG / natural-language-to-SQL prototypes. 5) Familiarity and/or experience with Streamlit. 6) Master’s degree preferred. Fresh out of a master’s program is a big plus (also serves as years of experience).

Soft Skills: 1) Good written and verbal communication skills, with an openness to growing and strengthening them, and comfort explaining technical work to non-technical Sales and Marketing partners.

Technology Requirements: 1) Python and SQL coding experience for data manipulation, analysis, and modeling. 2) Practical experience with core ML/statistics libraries (e.g., scikit-learn, statsmodels, pandas) and standard model-validation techniques. 3) Experience querying a cloud data warehouse (Snowflake preferred). 4) Basic working knowledge of Tableau - the team relies on it heavily to deliver insights to Sales and Marketing. 5) Comfort using and sound judgment about AI-assisted coding tools and LLMs in a professional setting. 6) Version control with Git and an ability to produce reproducible work.

Education / Certifications 1) Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Benefits & conditions

Additional Notes

  • Sourcing in CA - Burbank.
  • Hybrid - 3-days onsite. We ask for consistent weekday schedules.

Please note that this is a contract role providing services to Warner Bros. Discovery through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Warner Bros. Discovery.

This role is eligible for the following benefits:

Medical, dental & vision Hospital plans 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents) Company paid short and long-term disability Health & Dependent Care Spending Accounts (HSA & DCFSA) Employee Assistance Program Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.

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