Job Description :

As a Data Scientist at Ericsson, you will need to have strong programming skills and a good understanding of data science and Machine Learning tools. You will use your knowledge and/or experience in Data Science methodologies and apply them to seek results-oriented real-world problems as part of a highly dynamic and distributed team. Your contribution will also help to build new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT, and other emerging businesses!

• We believe in trust – we trust each other to do the right things!
• We believe in taking decisions as close to the product and technical expertise as possible.
• As a Team, We believe in creativity – trying new things and learning from our mistakes.
• We believe in sharing our insights and helping one another to build an even better user plane.
• We truly believe in happiness, we enjoy and feel passionate about what we do, and value each other’s technical competence deeply.

You Will :

• Conduct functional and technical analysis within Ericsson organization and strategic customers to understand MI-driven business needs and opportunities.
• Engage with the external ecosystem (academia, technology leaders, open-source, etc.) to develop the skills and technology portfolio for MI’s needs.
• Work with new technologies and champion them in MI Communities within Ericsson.
• As a Data Scientist at Ericsson, You should Help to develop new and apply/extend existing, concepts, methodologies, techniques for multi-functional initiatives.

To be successful in the role you must have :

• Experience with Big Data technologies such as Hadoop, Cassandra, etc.
• Strong Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++.
• Ability to build and champion internal and external communities.
• Ability to work independently with high energy, passion, and persistence.

Key Qualification :

• Experience: 3 years
• Education: · A Bachelor’s degree or higher in a technology-related discipline from a reputed university.