Senior Data Scientist & Product Owner

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Comcast brings together the best in media and technology. We drive innovation to create the worlds best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

JOB DESCRIPTION

Job Summary

The CX Personalization Data Scientist and Product Owner will be responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision-making process focused on understanding customer intents and build customer centric data models that provide insights into customer behavior. These capabilities will be leveraged to augment and improve our CX and employee tools. They will work in partnership with other data science, engineering and development teams across the organization to share insights and operationalize algorithms. CX Personalization initiatives support Comcast’s top business priorities including driving growth, brand loyalty, delivering operational efficiencies. To be successful in this role, you have demonstrated success developing insights leveraging data and can articulate the value those insights brought to the business. You have a “we first” mentality, are humble, curious, passionate and want to make CX our Best Product.

Job Description

Core Responsibilities

• Defines the team’s data science strategy and analytical methods in support of the product and program objectives.
• Develops and executes statistical and mathematical solutions to business problems. Frames problems, develops roadmap and communicates intended approach and quantitative methods to develop solution.
• Develops and uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced techniques such as clustering, segmentation, data mining and machine learning.
• Build, and test customer centric data models to support large scale projects that utilize batch, real-time, structured and unstructured data to provide context and inform employee and customer actions.
• Partner with the development and engineering teams to ensure proper implementation and usage of algorithms.
• Constructs forecasts based on applying analytical and data science techniques to business data.
• Partner with the data solutions teams to drive improvements in data.
• Improve products and services or solve problems using best practice and knowledge of internal and or external business issues.
• May serve on cross-functional teams.
• Establishing and working with Objectives and Key Results understanding how these KPIs move the needle for our customers.
• Consistent exercise of independent judgment and discretion.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
• Other 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.

Education

Bachelor's Degree

Relevant Work Experience

7-10 Years

Base pay is one part of the Total Rewards that Comcast 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, Comcast 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.