Data Scientist I - Forecasting

• _Welcome to Warner Bros. Discovery… the stuff dreams are made of._
• Who We Are…
• When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

• Data Scientist - Content Analytics
• HBO Max | Data Science
• The Role
• As a
• Data Scientist
• on the HBO Max Data Science team, you will develop, maintain, and improve data science and machine learning models focused on content performance and decision‑making.

You will partner closely with cross‑functional stakeholders, and your models and analyses will inform leadership and business partners on key content decisions. You will work with a wide range of datasets to build industry‑leading models and insights. Success in this role requires strong end‑to‑end ownership, the ability to execute across cross‑functional projects, and a passion for staying current with emerging modeling and algorithmic techniques and applying them in impactful ways.

• What You'll Do
• + Design, build, and improve machine learning models end to end, including data collection, feature generation and selection, model development, forecasting, and results communication + Develop reports, presentations, and slides to clearly communicate model outputs and insights + Deeply understand HBO Max data sources and identify the most valuable data for modeling + Write efficient, accurate queries to support KPIs and metrics + Monitor model performance, validate accuracy, and propose enhancements + Apply causal modeling techniques to identify cause‑and‑effect relationships between KPIs and key drivers + Research and apply best‑in‑class data science techniques and modeling best practices + Translate business requirements into data science solutions and actionable recommendations + Build dashboards and reports to share model outputs with internal and external stakeholders, including leadership + Present analyses to business partners and influence decision‑making •Basic Qualifications•+ BA/BS in Business Analytics, Statistics, Mathematics, Economics, Industrial Engineering, or a related quantitative discipline (Master's or PhD preferred) + 1+ years of experience building data science or statistical models (e.

g., multivariate regression, time series models, XGBoost, causal inference) + Strong proficiency in

• SQL and Python
• + Experience building time‑series models (e.g., SARIMAX) preferred + Experience with causal inference models preferred + Experience with linear and non‑linear optimization approaches preferred
• Other Desired Qualifications
• + Strong curiosity, leadership skills, and business acumen + Passion for using data to drive strategy and product recommendations + Experience in subscription‑based businesses or eCommerce preferred + Strong interpersonal skills with the ability to collaborate, motivate, and influence + Ability to manage multiple projects and meet tight deadlines + Strong storytelling instincts and creative judgment + Ability to engage in strategic conversations using social insights and community perspectives + Comfort operating in a fast‑paced environment with shifting priorities + Exceptional verbal and written communication skills + Strong presentation skills •How We Get Things Done…•This last bit is probably the most important!

Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

• Championing Inclusion at WBD
• Warner Bros.

Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page (https://careers.wbd.com/global/en/accessibility) for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees.

Pay Range:

$79,800.00 - $148,200.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.