Bangalore, Karnataka, India
Information Technology
Full-Time
Ericsson
Overview
Join our Team
About this opportunity:
We are seeking a versatile Data Scientist to join our dynamic team at Ericsson. You will play a pivotal role in harnessing machine learning solutions to solve complex business problems. Predicated on scientific methods, process-driven systems, you will be the driving force behind Ericsson's applied analytics. You will be expected to understand classical and advanced machine learning concepts and apply this knowledge practically to fulfil customer requirements.
What you will do:
About this opportunity:
We are seeking a versatile Data Scientist to join our dynamic team at Ericsson. You will play a pivotal role in harnessing machine learning solutions to solve complex business problems. Predicated on scientific methods, process-driven systems, you will be the driving force behind Ericsson's applied analytics. You will be expected to understand classical and advanced machine learning concepts and apply this knowledge practically to fulfil customer requirements.
What you will do:
- Participate in mapping requirements to implementation - Analysing, coordinating, prioritizing, and optimizing requirements. Ensuring implementation even with constraints.
- Work with data and develop predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems
- Good understanding of machine learning concepts and programming languages like Python, Pyspark, SQL etc. based on latest market trends
- Ability to work within constraints and timelines and follow the delivery standards and processes defined within Ericsson
- Good understanding and implementation knowhow of on-premise and well as on-cloud machine learning solutions
- Business Understanding.
- Artificial Intelligence Systems.
- Software Engineering.
- Data Management.
- Ericsson Business Intelligence and Analytics Competence.
- Open-Source Programming Languages.
- Data Preprocessing.
- Statistics.
- Cloud Development.
- Machine Learning Algorithms.
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