Ericsson

Data Scientist(6)

Noida, India Bengaluru, India
Machine Learning Docker GCP API Flask PostgreSQL Python SQL Kubernetes Git
Description

Join our Team

About this opportunity

Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. 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.

 

What you will do

 

    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.
    Experience in analysing complex problems and translate it into algorithms.
    Backend development in Rest APIs using Flask, Fast API
    Deployment experience with CI/CD pipelines
    Working knowledge of handling data sets and data pre-processing through PySpark
    Writing queries to target Casandra, PostgreSQL database.
    Design Principles in application development.
    Experience of Service Oriented Architecture (SOA, web services, REST)
    Experience of agile development & GCP BigQuery
    Have experience in general tools and techniques: E.g. Docker, K8s, GIT, Argo WorkFlow
 

The Skills You Bring

    Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.
    3-8 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.
    Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Noida

Req ID: 755257 

Ericsson
Ericsson
Information Technology Internet Mobile Telecommunications

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