Ericsson Hiring Drive 2024 For Data Scientist | Location Bengaluru

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Ericsson Hiring Drive 2024: Ericsson Hiring Drive 2024 for its Data Scientist. Ericsson Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. if you are interested, please apply as soon as possible.

Company Name: Ericsson

Role: Data Scientist

Location: Bengaluru

Experience: 0 – 3 years

Qualification: A Bachelor’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines.

Batch: Any

Job Type: Full Time

Salary: 15.5 LPA (Expected)

Ericsson Hiring Drive 2024

Job Description:

  • We are now looking for a young Data Scientist to be responsible for developing AI/ML methods, processes, and systems to extract knowledge or insights to drive the future of artificial intelligence!!
  • Provide data science tasks, perform advanced statistical analysis, 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!


  • 0-3 years of relevant Industry experience.
  • A Bachelor s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines.
  • Ability to analyse data and communicate outcome to key stakeholders exploring new data source
  • Excellent coding skills in python, R, SQL etc. Understanding of cloud services.
  • Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field
  • A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding.


  • Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques.
  • Synthesize problems into data question(s).
  • Convert data into practical insights.
  • Analyse and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders.
  • Collect Data, explore it, and perform analysis to extract information suitable to the business need.
  • Identify gaps in the data, aggregate data as per business need. Design perform Data Analysis, Data Validation, Data Transformation, Feature Extraction.
  • Decide approach for addressing business needs with Data analytics.
  • Understand end user needs and work accordingly with identifying new features in the data.
  • Develop Data Science and Engineering Infrastructure Tools.
  • Derive key metrics suitable for the use-case and present the analysis to key stakeholder.

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