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: Bangalore
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: 17.4 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!
Requirements:
- 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.
Responsibility:
- 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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