Job Description

Join our Team

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About the Opportunity:

Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson's Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions.

What You will do

Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes.

The skills you bring:

Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration. Ability to perform EDA and visualize the data. Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models. Strong programming skills in Python, SQL. Strong understanding of DSA. Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark. Familiarity with Linux/OS X command line, version control software (git), and general software development. Familiarity with APIs Experience in programming or scripting to enable ETL development. Familiarity with relational databases and Cloud (AWS). Understanding of Reinforcement Learning and Causal Inference will be preferred.

Qualifications

B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute


Minimum 4 - 6 years of experience in relevant role