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Scientist 3, Data Science

Xfinity

Xfinity

Data Science
Colorado, USA · Remote
Posted on Friday, April 12, 2024
Comcast brings together the best in media and technology. We drive innovation to create the world's 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 Summary

Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Works independently with minimal-to-no supervision while also demonstrating the ability to lead projects and initiatives autonomously.

Masters in Statistics, Mathematics, Computer Programming, or similar education is preferred.

"Authorized to work in the United States of America and will not require visa sponsorship now or in the future"

Job Description

Core Responsibilities

  • This role is a combination of Reporting and Analytics.
  • Maintains responsibility for assigned reports, producing them accurately, and promptly.
  • Develops analytical and/or statistical models enabling informed business decisions; creating predictive models leading to actionable insights; and training, testing, refining, and validating models.
  • Prepares data for reporting and analytic efforts by slicing and dicing the scattered data; ensuring quality and accuracy; profiling inaccuracies and recommending ETL process improvement; and cleaning and creating final data marts to support the analysis.
  • Develops, implements, and automates dashboards using Tableau by working with customers in their design, planning, and implementation while ensuring accuracy; evaluating and summarizing data and results; creating descriptive statistics; developing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
  • Proficiency in the use of, Teradata structured query language (SQL), Python, and Databricks.
  • Interacts with product and service teams to identify questions and issues for data analysis and experiments.
  • Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
  • Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).
  • Develops and executes statistical and mathematical solutions to business problems to support larger initiatives under the direction of senior team members.
  • Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
  • Works with large, noisy, and complex datasets to produce analysis of historical patterns in customer behaviors and product performance from complex real-world behavioral data.
  • Develops and deploys predictive models based on historical data that provide future predictions about customer behavior.
  • Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.
  • Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
  • Creates deliverables and presentations that report methodology and results of analysis.
  • Builds customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.
  • 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) 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.


Disclaimer:

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.

Compensation

Primary Location Pay Range: $106,626.34 - $159,939.51

Comcast 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 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.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education

Master's Degree: StatisticsWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relative Work Experience

5-7 YearsComcast 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, genetic information, or any other basis protected by applicable law.