Data Engineer/ScientistWe 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.ResponsibilitiesEmploying data science techniques and analyzing large datasets to assist in proactive network management of larger wireless networksIdentify root causes of RF and wireless issues encountered with equipment deployed in the lab, at test houses, or in production networksUnderstand and analyzing test resultsDeveloping models and software tools to organize and analyze large collections of wireless metricsDeveloping software and tools for interacting with cloud services, databases, and large datasetsCreating visualizations and communicating insights across teamsCollecting data from various sources (cloud data warehouse, internal database, third-party APIs)Developing and implementing supervised/unsupervised/reinforcement machine learning algorithmsQualificationsMust have:Master’s degree in Computer Science or Electrical EngineeringProficiency in Linux and scriptingProficiency in Python and Jupyter notebooksExperience 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 skillsWillingness to work in an office environmentAbility to work with colleagues across teamsDesirable to have:Ph.D in Computer Science or Electrical Engineering or 3+ years of experience in software development in ML or data science fieldsExperience with neural networks and deep learning algorithmsExperience with MLOps - automate ML pipelines, monitor model performance, version control of data/model/code, scale models using Kubernetes and containersExperience architecting and deploying cloud services, databases, and controllersFamiliarity with cloud environments such as AWSKnowledge of Wi-Fi technologies and protocols (i.e. IEEE 802.