Data Scientist

4 days ago

Goa, India Siemens Full time

Smart Infrastructure Division in Siemens Ltd. is one of the leading global suppliers of products, systems, solutions, and services for the efficient, reliable, and intelligent transmission and distribution of electrical power. As the trusted partner for the development and extension of an efficient and reliable power infrastructure that industry and the portfolio they need.

This includes facilities and systems for the low-voltage and distribution power grid level, smart grid and energy automation solutions, power supply for industrial plants, and high-voltage transmission systems.

We make real what matters. This is your role...
- You have an experience in Spark, Hadoop, HBase, SCALA, NoSQL, Java, Big Data, Solr, Python, Machine Learning, information retrieval.
- Possess a desirable skills hands on experience in developing recommender systems at production scale and exposure towards DevOps and containers like Docker.- We want you to have a strong understanding on unstructured (text) data processing and NLP.- We will develop your skills for data integration (ETL), data visualization (Tableau, Power BI), and analytical methods- You will be part of our data analytics team. With creative and ambitious colleagues, you are working in an international and agile environment
- Thorough understanding and experience of Supervised and Unsupervised Machine learning techniques (like classification, clustering, regression, etc.)

We don't need superheroes, just super minds

You are a Bachelor in Mathematics, Engineering in Computer Science Engineering with consistent record experience of 2 to 5 years in Data Analytics and should have experience in working with times series data from an industrial environment with a great teammate spirit and strong interpersonal skills. The job will be based out of Goa.

We’ve got quite a lot to offer. How about you?

**Organization**: Smart Infrastructure

**Company**: Siemens Limited

**Experience Level**: Experienced Professional

**Full / Part time**: Full-time

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