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Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast. 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 Responsibility
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
Designing, developing and programming 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
Integrating knowledge of business and functional priorities
Acting as a key contributor in a complex and crucial environment
May lead teams or projects and shares expertise
Requirements
Proven 5+ years of commercial experience in creating, testing, deploying, monitoring and maintaining machine learning pipelines
Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring
Expertise in correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting using either traditional or deep learning ML approaches
Strong Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability
Experience using SQL data exploration, feature extraction, and integration with analytical workflows
Familiarity with cloud platforms and products like Google VertexAI, BigQuery, CloudSQL, Compute Engine or similar solutions
Demonstrated ability to support, mentor, and guide junior to mid-level data scientists and machine learning engineers
Familiarity with Agile ways of working, participating in sprint planning, retrospectives etc
Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders
Master's Degree
Relevant Work Experience 7-10 Years
Nice to have
PhD at a relevant field
Networking/Telecommunications knowledge
Experience with data visualisation tools and frameworks such as Dash, Streamlit, Superset etc, to aid in the presentation of model results and findings