Staff Data Scientist (Data & Audience Platform Team), Hyderabad
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.
Staff Data Scientist (Data & Audience Platform Team), Hyderabad
About Warner Bros. Discovery
Warner Bros. Discovery is a premier global media and entertainment company, offering audiences the world's most differentiated and complete portfolio of content, brands, and franchises across television, film, streaming, and gaming. The new company combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit www.wbd.com.
Meet Our Team
Max is the "One to Watch" Streaming App from Warner Bros Discovery featuring the largest and the critically acclaimed catalog from brands like HBO, CNN, Discovery, A24, Food Network and many more. At Max, the Growth Engineering team comprises ML engineers, data scientists, and software engineers. Our goal is to boost engagement and grow the number of active subscribers. We work across all customer interactions to develop data products that enhance the customer experience and optimize for retention and lifetime value.
What You'll Do
- Research, design, experiment with and build high-impact end-to-end machine learning systems for customer growth
- Contribute and drive the design of scalable ML solutions in production
- Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship
- Promote and role-model best practices of data science, engineering, and communication throughout the organization
- Mentor and provide technical guidance to junior Machine Learning Engineers in the team
- Navigate existing ML research and apply it to solve industry problems
- Contribute back to research community by writing/publishing blogs, articles or papers in respected scientific conferences
What You'll Need
- M.S or B.S.in a Computer Science/Statistics/Data Science/Quant or related field
- 9+ years of building products with Machine Learning and Personalization
- Deep understanding of statistics and ML fundamentals
- Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn etc.
- Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages
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- Deep knowledge in multiple ML methodologies, such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization
- Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities
- Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences
- Self-motivated, growth-oriented, and driven to pursue excellence across teams
- Standardize and promote best practices for using AI-assisted tools to improve team-level productivity and code quality.
What We Offer:
- A Great Place to work
- Equal opportunity employer
- Fast track growth opportunities
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, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- FSA
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Company Outings
- Snacks
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Unlimited Paid Time Off
- Sabbatical
- Volunteer Time Off
- Summer Fridays
Financial and Retirement
- 401(K) With Company Matching
- Company Equity
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- 401(K)
- Profit Sharing
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Lunch and Learns
- Internship Program
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Learning and Development Stipend
- Access to Online Courses
- Professional Coaching
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)