Data Scientist - Steve E
Data Engineer/Scientist We are seeking a Data Engineer/Scientist to join our Wi-Fi CPE Development team in Englewood, Colorado. We define, develop, and test the hardware and software on Spectrum Advanced In-Home Wi-Fi routers deployed to millions of customer homes across the United States. Ideally, we are looking for a skilled data scientist with a good understanding of data models, machine learning models, data cleaning, and some domain knowledge in the field of Wi-Fi and/or wireless performance metrics.
Responsibilities:
- Employing data science techniques and analyzing large datasets to assist in proactive network management of larger wireless networks
- Identify root causes of RF and wireless issues encountered with equipment deployed in the lab, at test houses, or in production networks
- Understand and analyzing test results
- Developing models and software tools to organize and analyze large collections of wireless metrics
- Developing software and tools for interacting with cloud services, databases, and large datasets
- Creating visualizations and communicating insights across teams
- Collecting data from various sources (cloud data warehouse, internal database, third-party APIs)
- Developing and implementing supervised/unsupervised/reinforcement machine learning algorithms
Qualifications
Must have:
- Master's degree in Computer Science or Electrical Engineering
- Proficiency in Linux and scripting
- Proficiency in Python and Jupyter notebooks
Experience using data science and visualization tools, e.g. Pandas, matplotlib, etc.
Experience with machine learning tools/libraries, especially in Python, e.g. scikit-learn, TensorFlow, PyTorch, etc.
Strong verbal and written communications skills
Willingness to work in an office environment
Ability to work with colleagues across teams
Desirable to have:
Ph.D in Computer Science or Electrical Engineering or 3+ years of experience in software development in ML or data science fields
Experience with neural networks and deep learning algorithms
Experience with MLOps - automate ML pipelines, monitor model performance, version control of data/model/code, scale models using Kubernetes and containers
Experience architecting and deploying cloud services, databases, and controllers
Familiarity with cloud environments such as AWSKnowledge of Wi-Fi technologies and protocols (i.e. IEEE 802.