Applied Data Scientist

Job Description

What we do

The WBD Growth team is a multidisciplinary team of data scientists, ML engineers, applied data scientists and software engineers that focuses on reducing churn, increasing engaged watch time and increasing subscriber base.

What you'll do
• Research, design, experiment with and build high-impact machine learning systems for consumer facing products in companies Growth team
• Contribute and drive the design of scalable ML solutions in production
• Coordinate the work of multiple 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 Applied Data Scientists in the team
• Strong experience in exploring and navigating existing ML research and applying it to solve industry problems
• Contributing 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
• 5+ years of experience applying Machine Learning techniques to solve real world industry problems
• Deep understanding of traditional and deep learning based ML methodologies
• Expertise with ML-frameworks such as TensorFlow, PyTorch, Vowpal Wabbit, scikit-learn etc
• Production experience implementing machine learning pipelines and models at scale in Python, Scala, or similar languages
• Knowledge in one or more of the areas such as Causal Machine Learning, Interpretable ML, Counterfactual Learning, Multi Arm Bandits, Reinforcement Learning and Constrained Optimization
• Demonstrated ability to lead technical decisions and teams, including mentoring scientists and coordinating with Product and Engineering partners
• Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences
• Passion for data-driven research, development, and experimentation
• Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems
• Prior experience applying machine learning in Finance/Commerce, Economics, Marketing Science, Consumer Science would be a plus

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. $189,700.00 - $352,300.00 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 recruitadmin@wbd.com.

Jobcode: Reference SBJ-d547wz-3-138-69-45-42 in your application.