Principal Data Scientist

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.

Every great story has a new beginning, and yours starts here.

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 Role

As a Principal Data Scientist, you will lead data pipeline, data strategy, and data visualization-related efforts for the Global Product Analytics team at HBO Max. You’re an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions (pipelines to data tables to visualizations). You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Global Product Analytics team to drive business insights and strategy.

Job Responsibilities

• Design and implement data models that support flexible querying and data visualization

• Mentor fellow engineers and help others act as successful stewards of our tools

• Build frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage

• Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it

• Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value

• Participate in the creation and support of analytics development standards and best practices

• Partner with GPA colleagues and Product stakeholders to understand business questions and build out data solutions

• Build strong relationships with internal teams to consistently understand analytical needs and share best practices

• Create systematic solutions for solving data anomalies: identifying, alerting, and root cause analysis

• Work proactively with stakeholders to ready data solutions for new product and/or feature releases, with a keen eye for uncovering and troubleshooting any data quality issues or nuances

• Identify and explore new opportunities through creative engineering methods

Skillset & Experience

• Bachelor's degree, MS or greater in a quantitative field of study (Computer/Data Science, Engineering, Mathematics, Statistics, etc.)

• 7+ years of relevant experience in business intelligence/data engineering

• Expertise in writing SQL (clean, fast code is a must) and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases

• Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records

• Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats

• Experience with big-data technologies (e.g. Spark, Kafka, Hive)

• Advanced ability to build reports and dashboards with BI tools (such as Looker and Tableau)

• Experience with analytics tools such as Athena, Redshift/BigQuery, Splunk, etc.

• Proficiency with Git (or similar version control) and CI/CD best practices

• Experience in managing workflows using Agile practices

• Ability to write clear, concise documentation and to communicate generally with a high degree of precision

• Ability to solve ambiguous problems independently

• Ability to manage multiple projects and time constraints simultaneously

• Care for the quality of the input data and how the processed data is ultimately interpreted and used

• Experience with digital products, streaming services, or subscription products is preferred

• Strong written and verbal communication skills

Characteristics & Traits

• Naturally inquisitive, critical thinker, proactive problem-solver, and detail-oriented.

• Positive attitude and an open mind

• Strong organizational skills with the ability to act independently and responsibly

• Self-starter, comfortable initiating projects from design to execution with minimal supervision

• Ability to manage and balance multiple (and sometimes competing) priorities in a fast-paced, complex business environment and can manage time effectively to consistently meet deadlines

• Team player and relationship builder

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 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 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: $227,850.00 - $423,150.00 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.If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.