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Data Scientist

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Communication
  • Teamwork

About the company

Rapinno Health Care logo

Rapinno Health Care

  • Healthcare Staffing
  • SME
  • 11–50
At Rapinno Health Care, our expertise is helping healthcare organizations find a seamless workforce solution that aligns with our client's business strategies and overall staffing goals. We pride ourselves on building positive relationships to ensure that everyone involved brings added value to our customers and the patients they serve. Backed with a rich experience of Rapinno Tech, Rapinno Health Care believes that a successful healthcare organization must run like any efficient and successful business. To do this, you need to have the best talent and create synergies between maintainers, administrators, and organizational policy to create a recipe for success.

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Job 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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