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Data Scientist Offline

Infopulse

Areas of responsibilities:

• Research, design and development of Machine Learning and Deep Learning algorithms to tackle a variety of Fraud oriented challenges.

• Cooperation with software engineers and program managers to deliver end-to-end products, including: data collection in big scale and analysis, exploring different algorithmic approaches, model development, assessment and validation – all the way through production.

 

Qualifications:

• At least 3 years of hands-on development of complex Machine Learning models using modern frameworks and tools, ideally Python based.

• Solid understanding of statistics and applied mathematics

• Experience in the Telecommunication domain and/or Fraud prevention or Telecom signalling

• Experience with Hadoop Big data

• Creative thinker with a proven ability to tackle open problems and apply non-trivial solutions.

• Experience in software development using Python, Java or a similar language.

• Any Graduate or M.Sc. in Computer Science, Mathematics or equivalent, preferably in Machine Learning

• Ability to write clean and concise code

 

Will be a plus:

• Prior experience as a software developer or data engineer

• Experience with Spark

• Experience with Deep Learning frameworks (PyTorch, TensorFlow, Keras)

 

Personal skills:

• Quick learner, independent, methodical, and detail-oriented.

• Team player, positive attitude, collaborative, good communication skills.

• Dedicated, makes things happen.

• Flexible, capable of making decisions in an ambiguous and changing environment.

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