28/09 Smily
Chief Recruitment Specialist at Rekrut India

Views:277 Applications:67 Rec. Actions:Recruiter Actions:22

Senior Associate/Manager - Analytics (6-9 yrs)

Delhi NCR Job Code: 851897

What will you do?

- Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.

- Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research.

- Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives.

- Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.

- Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations.

- Contribute analytical thought leadership to assist on Business Development proposals.

What are we looking for?

- 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions

- Strong communication skills

- Experience in managing global analytics teams in multiple locations is preferred

- Track record of analytical product development, innovation, or research (patents or publications) would be a plus

 - Data science expertise 

- Python / R programming

- Have worked on semi-supervised problems

- Worked on NLP unstructured data / semi structured data

- Have prior experience in pre-trained models, like BERT, Glove,

- Worked on Neural Network, with experience in Tensor Flow, PyTorch

- Model development using RNN, CNN, LSTM

- Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc

- Experience in unsupervised learning and optimisation

- Experience in model performance tuning

- Experience in Model governance and deployment


Women-friendly workplace:

Maternity and Paternity Benefits

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