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Job Summary

As an Data Scientist on our Embedded Engineering team, you’ll contribute to the transformation of telemetry data from 70M+ devices into actionable insights. You’ll work closely with senior engineers and data leads to support the ingestion, extraction, and modeling of high-volume telemetry using modern cloud-native tools like Fluent Bit, Apache NiFi, and AWS analytics services.

Job Description

This position is ineligible for visa sponsorship.  To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Key Responsibilities:

• Assist in building and validating models that analyze device telemetry, reliability, and performance.
• Support upstream telemetry transformation pipelines using Apache NiFi and Fluent Bit.
• Collaborate with engineering to define and refine metadata indexing, data cataloging, and consumption mapping.
• Develop and maintain reproducible data workflows using Python, SQL, and AWS-native tools (Athena, S3, Redshift, DocumentDB).
• Participate in the creation of dashboards and visualizations for internal and customer-facing metrics.
• Contribute to monitoring and anomaly detection systems for real-time telemetry streams.
• Document data definitions, assumptions, and methodologies in collaboration with the data platform lead.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field.
• 0–2 years of experience in data science, analytics, or a related field.
• Proficiency in Python and SQL for data analysis and modeling.
• Familiarity with cloud platforms (preferably AWS) and distributed data systems.
• Exposure to time-series data, telemetry, or IoT analytics is a plus.
• Strong communication skills and a collaborative mindset.

Preferred Skills:

• Experience with Apache NiFi, Fluent Bit, or similar data ingestion tools.
• Knowledge of AWS services such as Athena, Redshift, S3, and DocumentDB.
• Understanding of Kubernetes and containerized data workflows.
• Experience with data cataloging and metadata management tools.

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

Big Data Engineering, Data Storytelling, Data Visualization, Machine Learning, Prompt Engineering

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.

Education

Bachelor'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.

Certifications (if applicable)

Relevant Work Experience

2-5 Years

Comcast is 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.