Job Summary

Job Description

Thispositionis ineligible for visa sponsorship. To beconsidered for thisrole, you must belegally authorized to work in theUnited States andnot requiresponsorship for employment now or inthe future.

Core Responsibilities

• Interacts with product and field engineering teams to identify questions and issues for data analysis and experiments.

• Leads development and coding of 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 practical insights using sophisticated statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics

• Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.

• Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.

• Leads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Leads development and deployment of predictive models based on historical data that provide future predictions about customer behavior.

• Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.

• Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.

• Owns the development of customer centric models and optimization tools to support large scale projects that use streaming and at-rest processing over structured and unstructured data.

• Understand platform usage and assist with production deployments and customer issue triage.

• Develop security features as part of the development and adopt the DevSecOps culture.

• Use and improve on tools to identify and mitigate production incidents.

• Build re-usable software components or libraries that can be used by multiple teams, where needed.

• Build self-contained microservices or application programming interfaces to support the business logic.

• Use content management systems as applicable and global design patterns and defined coding standards and practices established by the team.

• Consistent exercise of independent judgment and discretion in matters of significance.

• Regular, consistent and punctual attendance. Must be flexible in schedule as vital.

• Other duties and responsibilities as assigned.

• Expertise in Python and Golang.

• Experience developing and implementing microservices containing sophisticated analytical logic.

• Demonstrated expertise in working with cybersecurity data sets and applying machine learning techniques to aid in security compliance and/or threat hunting.

• Experience in parsing and cleansing data. Highly preferred if experienced in the application of machine learning to aid in data parsing and normalization.

• Experience designing, developing, and deploying applications powered by Large Language Models (LLMs), including conversational AI, chatbots, and AI assistants.

• Experience with Retrieval-Augmented Generation (RAG), semantic search, vector databases, embeddings, and prompt engineering.

• Experience integrating foundation models (e.g., OpenAI, Anthropic, Gemini, or open-source LLMs) into production applications through APIs and orchestration frameworks.

• Experience evaluating, fine-tuning, and optimizing LLM-based solutions, including model selection, prompt optimization, guardrails, and performance evaluation.

• Understanding of AI governance, responsible AI practices, model monitoring, and security considerations for generative AI applications.

• Experience building scalable AI/ML pipelines and deploying models using MLOps best practices.

• Experience working in Agile Scrum development environments.

• Experience working with GitHub and Jira or similar technologies.

• Experience using Python unit test frameworks.

• Experience using Docker and containerized application deployment.

• Experience developing on a SaaS product.

• Experience with distributed data processing technologies (e.g., Apache Spark, Apache Flink) is highly desirable.

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.
• Support a culture of inclusion in how you work and lead.
• Do whats 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

Compensation

Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting 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 to eligible employees.  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 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

Certifications (if applicable)

Relevant Work Experience