Engineer 3, Machine Learning - 8144
PA - Philadelphia, 1701 John F Kennedy Blvd, United States
Comcast
Comcast NBCUniversal creates incredible technology and entertainment that connects millions of people to the moments and experiences that matter most.Job Summary
Job Description
DUTIES:
Contribute to a team responsible for developing and deploying machine learning applications using Python, Spark, R, and SQL; perform data development and store data within a cloud environment using AWS and Databricks; clean and process raw data using SQL, Python, Neo4j, Scala, R, Spark, and Tableau; apply machine learning and data science techniques including, but not limited to K-Means Clustering, Principle Component Analysis (PCA), Temporal Anomaly Detection, Random Forest/Tree-based Algorithms, Regression, and Neural Networks, to develop models; evaluate accuracy and functionality of machine learning algorithms; translate application requirements into machine learning problem statements; analyze and evaluate solutions both internally generated as well as third party supplied; develop novel ways to use machine learning to solve problems and discover new products; implement, refine, and validate machine learning algorithms for products and application; take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production; research, write and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; create patents, Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented to the Company by various internal and external partners and vendors; and design proof of concept solutions and contribute to studies to support future product or application development. Position is eligible for 100% remote work.
REQUIREMENTS:
Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Business Analytics, Statistics, Mathematics, or any related technical or quantitative field, and one (1) year of experience developing machine learning applications using Python, Spark, R, and SQL; performing data development and storing data within a cloud environment using AWS and Databricks; cleaning and processing raw data using SQL, Python, Neo4j, Scala, R, Spark, and Tableau; and applying machine learning and data science techniques including K-Means Clustering, Principle Component Analysis (PCA), Temporal Anomaly Detection, Random Forest/Tree-based Algorithms, Regression, and Neural Networks to develop models.
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.
Skills
Databricks Platform, Machine Learning, Python (Programming Language), Structured Query Language (SQL), Tableau (Software)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 benefits summary on our careers site for more details.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Business Analytics Clustering Computer Science Confluence CX Databricks Data pipelines Engineering Machine Learning Mathematics ML models Neo4j Pipelines Python R Research Scala Spark SQL Statistics Tableau
Perks/benefits: Career development
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