Job Description

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

Qualifications:

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