Data Scientist

Role & responsibilities

• Understand and design analytical solutions to Business problems leveraging Data science.
• Should be able to understand and gather the requirement from Stakeholders.
• Propose and execute the solution and present the deliverables to Stakeholders.
• Manage and optimize the deliverables.
• Mentor and train new team members.
• Develop POCs to enhance team's capability.

Preferred candidate profile

• Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models.
• Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
• Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business.
• Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
• Stronghold on visualization tool libraries in Python like matplotlib, seaborn.
• Experience with cloud computing infrastructure like Azure or AWS, Sage Maker, Glue, Python, PySpark.
• Able to develop, test and deploy models on Cloud/Web.
• Experience in Designing and Deploying Deep Learning Solutions
• Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks
• Excellent knowledge of Supervised Learning, Adversarial Learning
• Excellent Python Coding Skills
• Robust working knowledge with deep learning frameworks (like Tensorflow, Keras, PyTorch)

Education & Experience

• BE/B.Tech/MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute.
• 5-10 years of relevant experience.