Warner Bros. Discovery
Bellevue, WA
Hybrid

Senior Data Scientist

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About Discovery
Discovery, Inc. is the global leader in real life entertainment. We serve passionate fans with content that inspires, informs, and entertains, providing leadership across deeply loved and trusted brands, such as Discovery Channel, TLC, Animal Planet, HGTV, Food Network, and Travel Channel. Available in 220 countries and territories and 50 languages, Discovery reaches viewers on all screens and services, from free-to-air and pay-TV channels, to digital products and streaming services, to social and mobile-first content and formats. Discovery delivers over 8,000 hours of original programming each year.

About Us
Discovery's Digital group is a well-funded start-up within Discovery, Inc. We are fast, nimble, and have fun developing new, innovative, and immersive digital products and content for iconic brands. We are working at the crossroads of technology, entertainment, and every day utility. As content creators across the digital ecosystem, we continuously leverage our technology to create immersive viewing and interactive experiences. We tell engaging stories to millions of viewers across the Internet every day, and bring new interactive experiences to life to not only entertain, but improve the lives of our customers.

 

Position Summary
We are hiring a Senior Data Scientist in Bellevue, Washington to help build, scale, and improve data models to drive key features and deliver critical insights across our food, home, and lifestyle products. The Senior Data Scientist will be an experienced scientist and leader on the Data Science and Analytics team. They will help advise and create a scalable data models using various modeling or machine learning techniques to support our direct-to-consumer products and apps.

 

This role will own data modeling solutions that drive specific product features and drive insights in support of our consumer products across mobile, tablets, web, connected TV, voice, and emerging technologies. They will use big data platforms and statistical, econometric, and/or machine learning techniques to enable product capabilities and features beyond what is feasible using heuristics or curation. This senior scientist will ensure the ongoing performance of reliable and ever-improving data models using modern modeling technologies.

 

An ideal candidate will be a driven, passionate advocate for using data science to produce great experiences for our customers. This person will make data-driven decisions, have an insatiable curiosity, love to invent and innovate to solve difficult problems, and obsess about their customers. They will have a strong point of view but remain open-minded should evidence lead elsewhere. They are a senior member of the team whom others enjoy working with because they are reliable, innovative, and care for their team members. They build trust with people from all areas of the business and have a proven track record. This senior scientist takes end-to-end ownership of their work and consistently delivers results in a fast-paced environment. When their models fail to perform at first, they persist, learn, and iterate to deliver ever improving data models and solutions.

Responsibilities

1. Partner with product, marketing, engineering, and analytics stakeholders to understand and prioritize where we can leverage data science and modeling to support key business goals and processes.
2. Determine the best modeling approach to solve various problems - finding solutions that effectively balance performance, simplicity, and scalability.
3. Work with engineering and analytics teams to identify scalable, accessible data sources for modeling.
4. Design, build, maintain, and improve data models to deliver customer, product, and marketing features and insights.
5. Ensure data models are production ready and perform to sufficiently support real-time product usage.
6. Prepare redundant and scalable data models that efficiently use resources and elegantly handle disruptions.
7. Ensure data integrity and accuracy across all model inputs.
8. Partner with other data science teams to share best practices and insights to support ongoing learning.
9. Make data science techniques approachable and understandable to non-data scientists.
10. Support the hiring and development of other data scientists, analysts, and other technical professionals, helping them enhance their skills, while supporting a fun and engaging culture.

Requirements

* Minimum of 7+ years of proven technical experience in data science and modeling.
* Experience with statistical programming languages, such as Python or R is required.
* Experience in structuring, cleansing, and preparing large, complex datasets for modeling.
* Experience with SQL and other data querying techniques.
* Experience with Apache Spark and Hadoop is preferred.
* Experience with Amazon Web Services (Redshift, S3, EC2, EMR, etc.) is preferred.
* Demonstrated ability to work across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks.
* Demonstrated ability to iterate and improve models both prior to and after they are implemented in production.
* Strong written and verbal communication skills. Can communicate the results of your work clearly to your audience.
* Masters in quantitative or technical field (statistics, mathematics, computer sciences, etc.) is a required.
* PhD in quantitative or technical field (statistics, mathematics, computer sciences, etc.) is a plus.

* Must have the legal right to work in the United States

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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
Employee awards
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Mandated unconscious bias training
Diversity manifesto
Diversity employee resource groups
Hiring practices that promote diversity
Diversity recruitment program
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Team workouts
Mental health benefits
Transgender health care benefits
Wellness days
Abortion travel benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Pay transparency
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Company sponsored family events
Fertility benefits
Vacation & Time Off Benefits
Unlimited vacation policy
Paid volunteer time
Sabbatical
Paid holidays
Paid sick days
Flexible time off
Bereavement leave benefits
Company-wide vacation
Office Perks
Commuter benefits
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Relocation assistance
Home-office stipend for remote employees
Meditation space
Mother's room
Onsite gym
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Online course subscriptions available
Customized development tracks
Paid industry certifications
Personal development training
Virtual coaching services

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