Job Summary

Who we are Comcast brings together the best in media and technology 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. Enterprise Business Intelligence (EBI) is a multidisciplinary group that owns the lifecycle of data to support cable goals. EBI consists of data engineers who democratize data, visualization experts who build reports, and data analytics subject matter experts that turn data into insights for the business. The Data Science team within EBI builds the end-to-end systems and tools that democratizes machine learning to meet the needs of business by partnering with key internal and external stakeholders. Job Summary The Data Scientist is responsible for supporting data science projects from idea generation, stakeholder management, modeling and deployment. A Data Scientist is expected to be a trusted partner to the business and create models with actionable results. Who does the data scientist work with? The data science team is composed of experts in AI, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. Data Scientists work with internal EBI teams as well as leads in the marketing, base management, customer experience, network engineering and finance departments. What are some interesting problems the data scientist will solve? Data Scientists in EBI work on a wide variety of interesting business questions from subscriber and prospect propensity models, customer segmentation, and real-time decisioning. Where can you make an Impact? Success in this role requires a wide range of skills including: technical acumen, stakeholder management, product ownership and collaborative problem solving.

Job Description

Core Responsibilities

Own all or part of the data science solution process:

• Resourcing – Work with the Project Management Organization to clearly define project timelines and resources.  Manage timelines, identify implications and impacts to leadership.
• Feature Selection – Partner with EBI Data Stewardship team to define proper data sources for feature selection.  Engage the engineering teams to ingest new datasets that are useful for modeling.
• Solution Development – Use expert knowledge of data science and machine learning to create the best method to solve the business problem.  Fit an accurate and actionable solution.  Ability to simplify the data science story.
• Validation – Validate the solution and defend that solution in front of your peers.  Explain model validation to a non-technical audience.
• UAT Testing – Work with the Machine Learning Operations (MLOps) team and stakeholders to perform user acceptance testing of the model.  Help determine if the data science solution is solving the business problem.
• Deployment and Feedback Loop – Work with MLOps team to set up deployment, DQ and monitoring of solutions.

​#EBICareers

Core Competencies – Some or all of the following

Data Science and Machine Learning:

• Regression (Linear, Logistic, stepwise, etc)
• Regularization (Ridge Regression, LASSO, Elastic Net)
• Instance-base algorithms (kNN, Support Vector Machines, etc)
• Decision Trees (CART, CHAID, etc)
• Bayesian Algorithms (Naïve, Bayesian Network)
• Clustering (k-Means, Hierarchical)
• Neural Networks
• Deep Learning
• Dimensionality Reduction (Principal Components)
• Ensemble algorithms (XGBoost, Random Forest, etc)

Data and Tools:

• Python
• SQL w/ strong pyspark
• Databricks
• Git
• Distributed/cloud computing (AWS familiarity or similar)
• Notebook computing (Jupyter)
• Data lakes (minio, S3)
• Data formats (parquet, delta)
• AutoML
• Streaming data sources
• Batch processing
• REST APIs

Preferred Education Level

• Master's degree or higher in Computer Science, Engineering, Operations Research or other quantitative field.

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.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

Comcast 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.

Education

Master's Degree

While 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.

Relevant Work Experience

5-7 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.