Machine Learning Engineer 3- 7882

Comcast, through its subsidiary FreeWheel, provides comprehensive ad platforms for publishers, advertisers, and media buyers. The Machine Learning Engineer will develop and support optimization and forecasting solutions, utilizing various machine learning techniques and programming skills to enhance inventory management and campaign delivery.

Responsibilities:

• Contribute to a team responsible for developing and supporting optimization and forecasting solutions for software used for inventory management, planning, and campaign delivery
• Apply mathematical programming, including linear and mixed integer programming and decomposition techniques
• Use machine learning techniques including tree-based models, linear and logistic regression, and time series models
• Use scikit-learn to create models
• Perform statistical modeling using techniques including linear and logistic regression, as well as clustering analysis, to determine the best modeling technique for a given dataset and problem
• Program using Python
• Manage code using Git
• Perform time series forecasting
• Manage relational databases and analyze data using SQL
• Perform distributed computing using Spark and TensorFlow
• Contribute to both software engineering and machine learning sides of projects by implementing, refining, and validating machine learning algorithms for products and applications
• 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, including Application Programming Interfaces (APIs) and other intellectual property
• Test and evaluate solutions presented by various internal and external partners and vendors
• Complete case studies, testing, and reporting
• Design proof of concept solutions and contribute to studies to support future product or application development
• Collaborate with teams outside of immediate work group
• Represent the work team in providing solutions to technical issues associated with assigned projects

Requirements:

• Master's degree, or foreign equivalent, in Computer Science, any Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field
• one (1) year of experience using machine learning techniques including tree-based models, or linear and logistic regression
• using scikitlearn or similar packages to create models
• performing statistical modeling using techniques including either clustering algorithms, or linear and logistic regression, to determine the best modeling technique for a given dataset and problem
• programming using Python
• managing code using Git
• six (6) months includes performing time series forecasting
• analyzing data using SQL
• performing distributed computing using Spark, TensorFlow, or a similar framework