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07/11 Shilpy Sinha
Search Consultant at Fidius Advisory

Views:998 Applications:64 Rec. Actions:Recruiter Actions:7

Senior Data Scientist - KPO (6-12 yrs)

Bangalore/Hyderabad Job Code: 762094

Senior Data Scientist - Recommenders System


Position Specification:

Deep learning via multi-layered neural networks are pushing the state-of-the-art forward for many machine learning applications in diverse domains. We are looking for a skilled data scientist to join our team to help us improve our core automation capabilities with the design, implementation, and analysis of deep learning architectures.

- Create statistical and machine learning models in multiple technologies to support customers goals

- Use Deep Learning to push forward the state-of-the-art in quality text and image processing for machine learning models

- Apply Deep Learning to detect objects in real world contexts

- Use Deep Learning to optimize large-scale machine learning algorithms with thousands of parameters

- Design algorithms that combine human & machine workers to train high quality ML models

- Use our Virtual Data Scientist to create automatic hypotheses from your architectures.

Qualifications/Experience

- Expert in machine learning (classification, clusterization and data mining)

- Experience in usage of neural networks

- Master's or PhD in a related field such as CS, Machine Learning, Statistics, Natural Language Processing (NLP), etc.

- Excellent programming skills

- Good knowledge of algorithms and data structures, for example, graph theory, theory of finite state automata, etc.

- Experience in open source toolkits and libraries for machine learning

- Strong foundation in machine learning including Probability Theory, Statistics, Big Data, etc.

- The ability to think - out of the box- to combine multiple possibly unrelated solutions to solve a single complex problem

- Any published journal and/or conference papers and completed project descriptions should be submitted with the application

- Kaggle account with high stats or publication or PHD would be a huge plus

Women-friendly workplace:

Maternity and Paternity Benefits

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