Data Scientist

Rapinno Tech

  • Englewood, Colorado
  • 13 days ago

    Highlights

    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. Employing data science techniques and analyzing large datasets to assist in proactive network management of larger wireless networks.

    Numbers & Facts

    LocationEnglewood, Colorado

    Description

    VERY URGENT AND IMMEDIATE NEED.

    Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa.

    Job Title: Data Scientist
    Location: Englewood, CO
    Duration: 06+ Months Contract

    Must Skill Set:

    Wi-Fi CPE Development

    Job Description:

    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 802.11a/b/g/n/ac/ax)

    Experience with managed Wi-Fi systems and equipment, including Wi-Fi controllers

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