Warner Bros. Discovery
Every great story has a new beginning.
New York, NY

Staff Data Scientist- Machine Learning at Warner Bros. Discovery (Greater NYC Area, NY)

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Employer Provided Salary: $142,800-$265,200 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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.
HBO Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive HBO Max Originals and iconic entertainment brands thrive, with HBO, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies and specials for audiences of all ages. The platform launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021. HBO Max began its global rollout launching in markets across Latin America and the Caribbean last summer, followed by its first European launches in the Nordics and Spain in the fall. Currently available in 46 countries, there are plans for continued expansion of HBO Max in 2022.
Staff Data Scientist- Machine Learning, WBD

Your New Role...
The Staff Data Scientist will be part of the Product Science and Analytics group. In the role, you will develop innovative machine learning algorithms to generate actionable insights by modeling large scale customer behavior that will lead to improvements in user experience and drive growth.
The role will partner closely with product, technology, content, marketing, and research stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and ensure the delivery of impactful solutions for the business.
Your Role Accountabilities...
  • Lead the full ML lifecycle.
  • Maintain stakeholder relationships, engage with cross functional teams to drive project outcomes.
  • Provide thought leadership for new projects and project directions.
  • Collaborate with product owners, business leadership and engineering teams to translate business problems into scalable ML formulations.
  • Apply or develop state of the art ML algorithms for the WBD product applications.
  • Integrate with A/B test platform to experiment with multiple model variants.
  • Incorporate ML best practices and influence their adoption into our machine learning infrastructure.
  • Help keep the team up to date with advances in the domain.
  • Help establish best practices for applied machine learning. Have strong ownership of functional excellence.
  • Mentor less experienced team members and provide technical leadership.


Qualifications & Experience...
  • Academic background in Computer Science, Statistics, Physics, Mathematics, and other quantitative fields (Masters/Phd preferred).
  • 5+ years of relevant hands-on experience in machine learning algorithm development and research with a track record of processing, enriching, and extracting value from large datasets.
  • The candidate demonstrates strong problem-solving and interpersonal skills.
  • Strong mathematical skills and familiarity with standard statistical methods including commonly used supervised and unsupervised ML techniques.
  • Experience with sequence modeling techniques is strongly preferred.
  • Experience using advanced ML topics such as deep Learning, Bandits, Probabilistic Graphical Models, Reinforcement Learning, optimization algorithms preferred.
  • Experience with causal learning techniques is strongly preferred.

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.
The Legal Bits...
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. $142,800.00 - $265,200.00 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 paid time off (PTO).
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 with a disability and you need a reasonable accommodation in order to apply for this position, please contact us at [email protected]
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What are Warner Bros. Discovery Perks + Benefits

Culture
Volunteer in local community
Partners with Nonprofits
Friends outside of work
Eat lunch together
Intracompany committees
Daily sync
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Happy Hours
Parking
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Continuing Education stipend
Online course subscriptions available
Paid industry certifications

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