Ericsson Off Campus Drive 2025 Apply Now for Data Scientist Role in Bangalore

Ericsson Off Campus Drive 2025: Here’s some exciting news, Ericsson Off Campus Drive 2025 has officially begun, and the company is inviting applications for the role of Data Scientist in its Bangalore, Noida office. Ericsson is a global leader in communication technology and services, is known for driving innovation in 5G, AI, cloud, and digital transformation. For fresh graduates and early professionals, this drive offers a chance to be part of a company that shapes the future of connectivity. You are passionate about data science, AI, and analytics, this could be the perfect step to launch or boost your career.

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About Ericsson

Ericsson is a worldwide network and telecommunications business based in Stockholm, Sweden. With operations in over 180 countries, it plays a crucial role in building next-generation communication networks. Ericsson is not just about telecom it’s about technology, data, and innovation. In Bangalore, India’s Silicon Valley, Ericsson Hiring Freshers 2025 has a strong presence with cutting-edge projects in data analytics, artificial intelligence, machine learning, and digital services. The company continuously invests in talent, making it one of the best places for budding data scientists.

Ericsson Hiring Freshers 2025 Data Scientist Details

Ericsson Off Campus Drive 2025 Eligibilities

Education Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Mathematics, Statistics, or related fields.
• Experience: Freshers and experienced professionals can apply

Skills

• Core competencies include strong Python programming abilities, expertise constructing data pipelines, and knowledge of the ELK stack (ElasticSearch, Logstash, Kibana).
• Distributed Processing: Understanding Spark foundations and when to use distributed processing for large datasets.
• Cloud and Containerization: Hands-on experience delivering applications and services with Kubernetes. Understanding of Docker and container best practices.
• Monitoring and Visualization: Gain hands-on experience generating dashboards and alerts with Grafana and Kibana.
• ML & MLOps: Experience working collaboratively on ML model creation, as well as deploying and monitoring ML models in production, expertise of model monitoring, drift detection, and CI/CD for ML is advantageous.

Role Responsibilities

• Python Development: Create clean, efficient, and maintainable Python code to help with data engineering activities like as collection, transformation, and ML model integration.
• Data Pipeline Development: Create, create, and maintain powerful data pipelines that collect, analyze, and transform data from numerous sources into formats suited for machine learning and analytics, employing ELK, Python, and other leading technologies.
• Spark Knowledge: Use fundamental Spark principles for distributed data processing as needed, and optimize workflows for performance and scalability.
• ELK Integration: Use ElasticSearch, Logstash, and Kibana to handle data input, indexing, searching, and real-time visualization. Knowledge of OpenSearch and related technologies is useful.
• Dashboards and Visualization: Create and administer Grafana and Kibana dashboards to provide real-time information about application and data performance.
• Deploy machine learning models and use monitoring technologies to track their performance, drift, and health.
• Data Quality and Governance: Use data quality tests and governance processes to assure data accuracy, consistency, and adherence to data privacy standards.
• MLOps (Added Advantage): Help implement MLOps strategies such as model deployment, monitoring, and machine learning workflow automation.
• Documentation: Keep clear and complete records of data engineering procedures, ELK setups, machine learning models, visualizations, and deployments.

Selection Process – Ericsson Hiring Freshers 2025

1. Online Assessment Test : Aptitude, logical reasoning, and basic technical questions.
2. Technical Interview : Data science concepts, machine learning, programming skills.
3. HR Interview : Communication skills, cultural fit, and career goals.

Job Location & Salary Package

Bangalore, also known as the IT Capital of India, is home to global tech giants and startups alike. By joining Ericsson in Bangalore, you will be working in one of the most vibrant ecosystems for data science and AI innovation.

The expected salary for a Data Scientist at Ericsson in Bangalore ranges from ₹6 LPA – ₹10 LPA, depending on skills, education, and interview performance.

How to Apply Ericsson Off Campus Drive 2025?

This job apply online as soon as possible. Application link before the expire link. The apply link in given below.

OR

• Visit the official careers website.
• Search for Data Scientist – Bangalore.
• Read the job description carefully.
• Click on Apply Now and create/login to your Amazon account.
• Upload your updated resume and cover letter.
• Submit your application and wait for the recruitment team to reach out.

Ericsson Apply Link : Click Here to Apply

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Why Join Ericsson?

• Global Exposure: Work in a company with operations across 180+ countries.
• Learning Culture: Access to training programs and certifications in AI, ML, and 5G.
• Innovation at Core: Opportunity to work on cutting-edge technologies.
• Career Growth: Clear growth path with mentorship from industry experts.
• Employee Benefits: Competitive salary, health benefits, and flexible working culture.

Final Words

The Ericsson Off Campus Drive 2025 for Data Scientist in Bangalore is a golden opportunity for graduates and freshers aiming to make a mark in the data science and telecom domain. With its innovation-driven culture and focus on AI and analytics, Ericsson Hiring Freshers 2025 offers not just a job but a platform to grow into a global technology leader. You are passionate about data, technology, and problem-solving, don’t miss this chance. Apply today and take your career to new heights with Ericsson.