Discovery hires the very best and brightest talent who are enthusiastic and passionate to fulfill the company’s mission of empowering people to explore their world and satisfy their curiosity.

In exchange for their talent and drive, employees are provided with an engaging, diverse workplace and the resources they need to learn, thrive and grow in their careers.

Senior Data Engineer, Media Science

Discovery hires the very best and brightest talent who are enthusiastic and passionate to fulfill the company’s mission of empowering people to explore their world and satisfy their curiosity. In exchange for their talent and drive, employees are provided with an engaging, diverse workplace and the resources they need to learn, thrive and grow in their careers. Come work on the hottest new streaming service, Discovery+, and on some of the most beloved global brands including HGTV, Food Network, Discovery, TLC and more.

OUR TEAM: Media Science

Media Science is at the core of Discovery’s internal Media Team managing the data and analytics for all owned & paid media globally. Data engineering, analysis, operations and data science expertise all sit within the team to streamline collaboration and create agility. We are an in-house data product team working with big data, including analytics, smart tv data and MMPs to measure billions of media impressions weekly. We continually work to enhance the data processing, code, methodologies and products deployed to drive dashboard reporting, multi-touch attribution, media mix models, incrementality, ROI reporting and real-time optimization… and we are just getting started. Our mission is to power our media arsenal driving expansion of the Discovery+ streaming service globally. Come join a team that is at the heart of media and data at Discovery.

THE ROLE: Senior Data Engineer

The Senior Data Engineer is a critical and highly technical role within Discovery’s Media Science team. Working with the Director of Data Engineering, the position will enable data from disparate sources and systems to be turned into cohesive, effective data products that support Discovery’s media efforts for global direct-to-consumer streaming products, TVE and concurrent tune-in efforts. The role will work to collaborate on and translate business KPIs and data science methodologies into an expanding code base that drives measurable business results balancing media efficiency and effectiveness.

The position requires a strong technical background in data extraction, processing and analysis. The candidate should have a strong background in data programming languages (SQL, Python, etc) and knowledge of statistical software (R, SAS, etc.) and have engineering know-how with an analyst curiosity. The candidate must be comfortable engaging and communicating with both business and technology stakeholders to successfully bridge the gap between business end-users and technical resources. The role will work with the media, product and data tech teams to ensure rigorous reporting and advanced analytics are a cornerstone of all media measurement.

Key Responsibilities:

Responsible for furthering the development of media measurement capabilities for a global streaming business
Be a technical lead for Media Science’s data environment to support the overall data architecture design, code base and peer review process.
Partner in the building, testing and implementing of all data models.
Develop a QA process for testing various calculations across dashboards and data toolsets to maximize reliability.
Help codify business rules and apply those rules to datasets in order to drive dashboards, feeds, visualizations and other data products.
Apply big data techniques to discover patterns in media exposures that can be leveraged to drive forecasting, subscriptions and revenue yield.
Develop new data assets, code bases and methodologies, particularly to drive the direct-to-consumer global streaming businesses.
Work with the overall Media Science team to deliver data products and provide business insights through quantitative analysis and predictive modeling.
Document business logic in a way that is equally intelligible by both business and technical stakeholders.
Expose data to relevant media, marketing and product stakeholders with the highest degree of efficiency, usability, reliability and accuracy.
Query and perform ad hoc analysis across data sets to drive business optimization and inform strategy.
Help identify new data toolsets to keep the Media Science team toolset best of breed.
Build shared knowledge and data best practices to cross-reference for the team.

QUALIFICATIONS:

Bachelors in Computer Science or similar is preferred.
4 plus years of experience working in a large-scale global data warehousing and analytics environment
Advanced experience with data programming languages (e.g. SQL, Python, R) with focus on big data processing
A strong understanding of cloud-based data warehousing solutions (AWS Big Data Tools a plus: S3, Redshift, Athena)
Experience with source control system, ideally Github
Strong understanding of big data and how a company can build data driven products
Ability to manage through solving complex business problem
Ability to collaborate with a variety of stakeholders to drive business requirements and outcomes
Background in digital media, marketing or ad sales disciplines desired
Machine learning experience is a nice to have
Highly proficient mathematics, including probability
Visualization experience (Tableau or other tools)
Ability to prioritize tasks and resolve problems in a timely manner
Ability to work autonomously, multi-task and work in a fast-paced environment
Ability to work in agile environments
Ability to understand business problems, draw conclusions from data and offer solutions
Extremely detail oriented and organized
Self-starter, willing to get hands dirty and make it happen
Must have the legal right to work in the United States

Discovery Communications, Inc. is an equal opportunity employer. Discovery is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.

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 but not limited to all local Fair Chance Ordinances.

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California Job Applicant Privacy Policy
If you are an individual with a disability and need an accommodation during the application process, please send an email request to [email protected].

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Ameya Karvir

Vice President of Data Science and Analytics

ON THE CUTTING EDGE

Keeping at the forefront of content consumption

Karvir and co. use data-rich insights to deliver experiences that will resonate, such as fine-tuning streaming personalization or suggesting relevant content for web visitors. “With the whole aspect of personalization, we are catering to every single individual on their device,” he said. To continue leading in their field, he prioritizes adaptability among teammates as a key attribute in navigating an oft-evolving industry.

My team operates as a mini R&D center and brings forth what we find useful. It’s all about speed, research, exploration and how we make it actionable.

Ameya Karvir

Vice President of Data Science and Analytics

Melanie Lantin

Vice President of Product Design and User Research – Consumer Digital Products

PILLARS OF SUPPORT

Leaders don’t just manage, but empower

At her first design review for home brand Magnolia, Lantin noticed something she described a rarity: The audience was overwhelmingly female. “It was really refreshing that Magnolia, with Joanna Gaines at the helm, already prioritized female leadership and vision,” she said. For Lantin, this powerful realization underscored the broader culture of support and empowerment, which she expands on by mentoring colleagues.

I make sure I’m available to all my team members and know that I can offer a specific type of help or mentorship to the women on my team by giving them all of the tools that can help them navigate their careers.

Melanie Lantin

Vice President of Product Design for Magnolia Direct-to-Consumer

Martin Ma

Group Vice President, Engineering

PEOPLE-DRIVEN TECH

Staying focused on the human element

Steering engineering for brands such as Food Network Kitchen as well as Discovery websites, Ma helps the organization scale in a fast-moving space. But, for Ma — who embraces a “lean startup” mindset — the challenges transcend tech. “It’s all about people. We build a team of subject matter experts who know areas of a product inside-out, while everyone on the team understands the bigger picture,” he said.

Engineering problems are always people problems, and there’s nothing a great team of empowered engineers can’t solve.

Martin Ma

Vice President of Technology

What are Warner Bros. Discovery Perks + Benefits

Warner Bros. Discovery Benefits Overview

Warner Bros Discovery offers a comprehensive set of benefits and perks to support employees in their personal and professional lives. Some program highlights include:

• Local medical, dental, and vision programs in many countries around the world.
• On-site wellness and fitness centers across several of our office locations.
• Family support programs. In the U.S., additional services include on-site childcare in certain offices, backup childcare services, family caregiver leave, adoption, surrogacy, and cryopreservation assistance, and more.
• Tools and resources to support the mental wellbeing of our employees and their dependents, including mental health counselors and 24/7 access to free, confidential support through our Employee Assistance Program administrators.
• Products and services to support financial wellbeing including financial planning tools, and a 401(k) savings plan in the U.S.
• Flexible work arrangements around the globe, allowing employees to better balance work and personal commitments.
• Global learning, leadership & organization programs to inspire, equip, and empower our people to thrive. These programs and resources are accessible to everyone at whatever stage they are in their career.

Culture

Volunteer in local community

Partners with nonprofits

Open door policy

OKR operational model

Team based strategic planning

Open office floor plan

Employee resource groups

Employee-led culture committees

Hybrid work model

In-person all-hands meetings

Summer hours