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Data Scientist at Vodafone United States

Newbury, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Statistical Methods, Data Science, Software Development, Agile Methodologies, Problem Solving, Analytical Capabilities, Telecommunications Networks, CI/CD, Clustering, Classification, Pattern Search, DevOps, Algorithms, Network Topology

Industry

Telecommunications

Description

Coding, data, technology - that's your world! Work with state-of-the art tools and open-source libraries. Key accountabilities and decision ownership: Develop software in a dynamic team employing agile development processes and Python Employ statistical methods to correlate network parameters, network topology and customer experience data to identify network problems and solve them automatically and predictively Evaluate large data sets with state of the art data science methods like machine learning, classification, clustering and pattern search Design and implement algorithms to detect network and service problems in real-time Implement your findings and take cross-functional responsibility from development towards go-live and operations (DevOps) Contribute to the continuous improvement of the development process in the team with CI/CD and your innovative ideas Implementation of projects according to time and quality goals Strong problem solving and solution-oriented thinking Very strong analytical capabilities, data science and statistics know-how and proven track record of implemented solutions Strong programming skills and 3yrs+ experience in software development and especially experience with Python Master in computer science, physics, mathematics or comparable degree Know how in telecommunications networks Knowledge of Agile methodologies and development tools Security Clearance or Eligible for gaining Security Clearance

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Responsibilities

Develop software using Python and statistical methods to identify and solve network problems. Implement algorithms for real-time detection of network and service issues while contributing to the continuous improvement of the development process.