At Ericsson, you can be a game changer! Because working here isn’t just a deal. It’s a big deal. This means that you get to leverage our 140+ years of experience and the expertise of more than 95,000 diverse colleagues worldwide. As part of our team, you will help solve some of society´s most complicated challenges, enabling you to be ‘the person that did that.’ We’ve never had a greater opportunity to drive change; setting the bar for technology to be inclusive and accessible; empowering an intelligent, sustainable, and connected world.

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Lead Data Scientist

Job Description

Date: Jan 13, 2020

Position Summary:

Purpose of the Job Role

Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.

Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems.

Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

Responsibilities & Tasks:

  • Perform Data science leadership
  • Synthesize problems into data question(s)
  • Decide approach for data science
  • Design & perform data science experiment
  • Develop Data Science Infrastructure &Tools
  • Convert data into actionable insights.
  • Act in external relations

Position Qualifications:

CORE COMPETENCIES

  • Project Management Skills
  • Change& Improvement Management Skills
  • Creating & innovating
  • Learning and Researching
  • Applying expertise and technology
  • Analyzing
  • Presenting & communicating information
  • Persuading & Influencing

MINIMUM QUALIFICATION AND EXPERIENCE REQUIREMENTS

  • A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines  
  • Evidence of academic training in Statistics

PREFERRED QUALIFICATION AND EXPERIENCE REQUIREMENTS

  • Deep/broad knowledge of machine learning, statistics, optimization, or related field
  • A genuine interest in new and applied technology and software engineering coupled with a high degree of business understanding
  • Any applied research contributions to the community in terms of technical papers and patents, are encouraged