Data Scientist

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

Bachelors degree in Computer Science, Statistics, Mathematics, or a related field. A Masters degree or PhD is preferred.
2-7 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.