Lead Data Scientist

Responsibilities

• Responsible for answering business questions using machine learning techniques, algorithms and statistical models.
• Gathering and integrating large volumes of data, performs analysis, interprets results, and develops actionable insights and recommendations.
• Responsible for evaluating statistical/machine learning models to determine validity of analyses, testing models, and developing visualizations to help clients make business decisions.
• Collaborate & Partner closely with business and data teams and deliver data science solutions to identified business problem
• Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
• Coaching, mentoring, reviewing work of junior data scientist
  
  

• BE/B.Tech with 7+ years of experience in Data Science
• Deep knowledge of Statistics, Mathematics, Optimization, Machine Learning theory and quantitative techniques.
• Extensive programming experience in Python, SQL. Proficient with machine learning libraries such as SciKit-Learn,SciPy, Keras, Tensorflow, PyTorch etc.
• Experience working with large datasets including structured/unstructured data
• Knowledge in evaluating and making decisions around the use of new or existing machine learning, data analysis, optimization techniques/tools for a project.
• Experience in model evaluation, tuning and performance.
• Experience with Cloud technologies (AWS, Azure, etc.)
• Passion for picking up new techniques/technologies
• Self motivated attitude and desire to work on applied problems