Ericsson

Data Scientist

Software Developer III

Senior Software Developer

Senior Data Scientist

Automation Engineer

Low Code Architect

Lead - Global HR Direct

Engineer-TXN

As a Data Scientist at Ericsson, you will develop and deploy machine learning models (chat-bot, XGBoost, random forest, NLP, computer vision, generative AI) using Python, SQL, Docker, Kubernetes, and PySpark.  You will collaborate with cross-functional teams, translating business needs into analytical solutions and deploying models to production environments.  The role requires strong programming skills, expertise in data science methodologies, and experience with cloud platforms (preferably GCP).  Responsibilities include data manipulation, analysis, model evaluation, ensuring scalability and reliability of deployed models, and communicating findings to both technical and non-technical audiences.

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 Join our Team About Ericsson 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. Key Responsibilities 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. Qualifications Bachelor's degree in computer science, Statistics, Mathematics, or a related field. A master's degree or PhD is preferred. 8-12 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. ]]&gt;
 
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