Washington, DC, United States
Nov 16, 2022
**MEMBERS ONLY**SIGN UP NOW***.'s Technology, Product & Experience organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards. We offer a flexible working environment to balance the need to work independently wherever you choose, with days that require collaboration at one of our offices. Our roles primarily reside inside or around one of our Tech Hubs (Philadelphia and surrounding suburbs, Denver, Austin, Silicon Valley, Washington DC/N. Virginia). Some roles can work virtual full-time if they are not near a Tech Hub, but that is dependent upon the needs of the position and amount of collaboration required.
Responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision making process. Provides input into strategy, analysis methods and tool selection. May work independently or as part of a team on more complex projects. Provides mentoring and guidance to more junior team members. May be responsible for leading a team, but does not directly manage people.
Lead complex interdepartmental data science programs that designs solutions across one or more technologies.
Develop data mining, machine learning, statistical and graph-based algorithms designed to analyze massive data sets for business insights and partner with the data engineering team to ensure proper implementation and usage of algorithms.
Review and evaluate data scientist programs enterprise level to determine appropriate use of algorithm-driven products and solutions.
Educate other departments on data science methodologies, concepts and algorithmic advancements.
Lead a small group of less experienced team members on analytical projects or on cross-functional teams. Frequently serves as team lead on multiple projects, mentor and train junior team members.
Lead development and implementation of scalable big-data driven solutions for accurate targeting of users with relevant business treatments and efficient algorithmic inventory. Manage challenges associated with investigating and understanding large datasets and building models based on Big Data solutions.
Define enterprise data strategy and data monetization processes through analysis of rich streams of unstructured data to find correlations between events and identify opportunities to optimize defined desired outcomes.
Consistent exercise of independent judgment and discretion in matters of significance.
Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
Other duties and responsibilities as assigned.
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Respect and promote inclusion & diversity.
Do what's right for each other, our customers, investors and our communities.
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
**MEMBERS ONLY**SIGN UP NOW***. is an EOE/Veterans/Disabled/LGBT employer.
**MEMBERS ONLY**SIGN UP NOW***. is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law.
While possessing the stated degree is preferred, **MEMBERS ONLY**SIGN UP NOW***. also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
Pay Range: $133,117.31 - $199,675.96
**MEMBERS ONLY**SIGN UP NOW***. intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience.
Base pay is one part of the Total Rewards that **MEMBERS ONLY**SIGN UP NOW***. provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, **MEMBERS ONLY**SIGN UP NOW***. provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary (****on our careers site for more details.