Data Scientist II

CA Culver City 8900 Venice Blvd., Ivy Station

Warner Bros. Discovery

Warner Bros. Discovery offers exciting and rewarding career opportunities across a multitude of disciplines. Join us as we step into the next chapter.

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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.

The Job

Be a part of a startup within a large organization and help us launch the premier new video streaming application Max. This role will support the Max marketing teams understand the impact of marketing on sales, profitability, and brand equity. As a data scientist on Max Data Science team, this individual will have a deep understanding of different types of media spend channels and associated data, metrics and KPIs. The data scientist will develop, maintain, and refine market mix models and market experiments. You will be working closely with marketing team, strategy team and external vendors. Your models and analysis will be used to optimize and validate Max media spend. You’d be working with a wide array of datasets to craft industry leading models and analyses. Key to this role is the ability to hop into cross-functional projects, executing from start to finish. 

The Daily

  • Performance analysis to measure marketing campaigns and make recommendations
  • Analyze and have a deep understanding of media spend (investment and return) and measure performances 
  • Support the development of data framework and analytical approaches 
  • Develop, maintain, and refine market mix models and attribution models using advanced statistical models
  • Build optimization algorithms using the model output to optimize media spend to maximize subscriber growth and revenue
  • Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences
  • Present key drivers behind media effectiveness and performance with business partners and senior executives and craft related action plans

The Essentials

  • BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus
  • 3+ years of experience building data science/statistical models (Multivariate regression, statistical test measurements, Time Series Model etc.) 
  • Expertise in SQL and R
  • Proficient in Python and Databricks 
  • Experience designing and evaluating experimental/ incrementally test
  • Experience in Media Mix Modeling a plus
  • Experience in RShiny a plus 
  • Experience in linear and non-linear optimization (Local/Global) approaches a plus 
  • Knowledge of media and advertising (display, digital, paid search etc.) a plus

Other desired qualifications:

  • Strong curiosity, leadership, and business acumen.
  • Passionate about using data to drive strategy and product recommendations. 
  • Experience in subscription-based businesses or eCommerce preferred.
  • Strong interpersonal skills with the ability to motivate, collaborate and influence.
  • Ability to deliver on multiple projects and meet tight deadlines.
  • A developed creative taste and strong instinct for stories and experiences that will capture consumers.
  • Actively engage in strategic conversations with social insights and community perspectives
  • Ability to adapt rapidly in a fast-moving environment with shifting priorities and the ability to react quickly, dynamically, and intelligently.
  • Ability to effectively influence and communicate cross-functionally with all levels; exceptional verbal and written communication skills.
  • Strong presentation skills are a must. 

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 the diversity of our society and the world around us. 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 and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.

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: $109,200.00 - $202,800.00 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.
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Tags: Business Analytics Databricks E-commerce Economics Engineering Industrial KPIs Mathematics PhD Python R React SQL Statistics Streaming

Perks/benefits: Career development Equity Health care Insurance Salary bonus Startup environment

Regions: Europe North America
Countries: France United States
Job stats:  9  2  0
Category: Data Science Jobs

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