Ericsson Careers

Data Scientist

Noida, India
Information Technology

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English (US)

Job Description

Date: Dec 11, 2018

Ericsson Overview:

Ericsson is world’s leading provider of communications technology and services. Our offerings include services, consulting, software and infrastructure within Information and Communications Technology.

Using innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open up opportunities to create freedom, transform society and drive solutions to some of our planet’s greatest challenges.

We are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment. As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements. Continuous learning and growth opportunities allow you to acquire the knowledge and skills necessary to progress and reach your career goals. We invite you to join our team.

Objective:

 

  • 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:

 

  • Build advanced statistical models, algorithms and trend analysis in order to discover predictive insights related to network and business objectives
  • Translate data algorithms and complex ideas into actionable management insights and solutions
  • Translate operator business objectives into business intelligence trough regressive data analytics
  • Explore and work on Big Data tools and technologies to sustain our continued operational transformation objectives and market leadership
  • Research and develop approaches on how to improve business processes and customers’ experience by using our vast amounts of data.

 

Position Qualifications:

Core Competencies:

 

  • Previous experience on a similar job (at least 5 years)
  • Good knowledge of statistical analysis, theory of probabilities, design of experiments and machine learning.
  • Acumen for business flow understanding and expertise in data preparation-data mining and pre-processing.
  • Strong Knowledge of SQL, PL/SQL, SQL Server, SPSS, SPAS
  • Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e. R, Python;
  • Knowledge of Business Objects
  • Distributed computing paradigms such as different distributions of Hadoop, Spark.

 

Behavioral Competencies:

  • Creating & innovating
  • Learning & Researching
  • Applying expertise & technology
  • Presenting & communicating information
  • Persuading & Influencing

 

 

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.

 

Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.

 

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.

 

Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.