Data Scientist - Steve Emeott

Data Scientist

Wi-Fi CPE Development

We are seeking a data 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

Must Have:

• Master’s degree in Computer Science or Electrical Engineering
• Proficiency in Linux and scripting
• Proficiency in Python and Jupyter notebooks
• Proficiency in SQL and relational/non-relational database
• 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.
• Fundamental algorithmic and data structure knowledge
• 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 creating and maintaining live dashboards
• 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 AWS
• Knowledge of Wi-Fi technologies and protocols (i.e. IEEE 802.