Data Scientist Opportunity 2025 | Ericsson is hiring Data Scientist . The working location is Noida, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Scientist Job Openings At Ericsson | Noida- Overview
| Company Name: | Ericsson |
| Job Role: | Data Scientist |
| Location: | Noida |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
- Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.
Skills Required:
- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. A Master’s degree or PhD is preferred.
- 6-10 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.
- Proven experience in model development, evaluation, and deployment.
- Strong programming skills in Python and SQL.
- Familiarity with Docker, Kubernetes, and PySpark.
- Solid understanding of machine learning techniques and algorithms.
- Experience working with cloud platforms, preferably GCP.
- Excellent problem-solving skills and ability to work independently as well as part of a team.
Responsibility
- Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.
- Utilize Python for data manipulation, analysis, and modeling tasks.
- Proficient in SQL for querying and analyzing large datasets.
- Experience with Docker and Kubernetes for containerization and orchestration of applications.
- Basic knowledge of PySpark for distributed computing and data processing.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Deploy machine learning models into production environments and ensure scalability and reliability.
- Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.
