Senior Data Scientist

Location: Bengaluru, Delhi, Gurgaon, Kolkata,Chennai,Hyderabad,Pune,Indore,Jaipur and Ahmadabad ,,

Senior Data Scientist 

 Senior Data Scientist :

Experience of 2-3 years should be fine, predominantly on Machine Learning problems, Computer Vision, NLP, AWS / Cloud, Dockers et

Role:

A Senior Data Scientist with AI/ML  (primary focus) skill sets to work on an exciting boutique Data Science team

Responsibilities:

• Ability to understand a business problem and the available data and identify what techniques can be applied to answer the business questions
• Given a business problem, estimate solution feasibility and potential approaches based on available data
• Quickly prototype solutions and build models to test feasibility of solution approach
• Build statistical models, train and test them to and drive towards the optimal level of model performance
• Develop robust, scalable and production grade data pipelines and machine learning models to answer key business problems against big, small or huge volumes of diverse range of data sets.
• Build scalable AI / ML: solutions as appropriate - may depend on the requirements and will span NLP, Computer / Machine Vision, Clustering, Segmentation, Deep Learning etc.
• Writing reusable piece of code following best software engineering practices accommodating common design patterns and OOPS
• Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
• Work in highly collaborative teams that strive to build quality systems and provide business value
• Work closely with clients, both in the Business Domain and with Technical staff members

Skills:

• 2+ years of relevant experience in a delivery focused team
• Strong coding ability in Python, and general software development skills (source code management, debugging, testing, deployment, etc.) is a must
• Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques
• Understanding of databases (RDBMS, NOSQL) from a perspective how to write optimized queries and pull data from them is essential
• Experience across Structured, Semi-Structured and Unstructured data along with the appropriate modeling techniques based on the business requirements
• Knowledge of both traditional as well awareness with existing state of the art methods in Machine Learning, NLP, Document Classification, Transfer Learning, Information Extraction and Retrieval with a proven track record of applying them to real problems.
• Experience in Computer Vision techniques - processing and handling of images and videos, as well as detection / classification techniques
• Experience in cloud computing like AWS is a plus
• Experience in microservice based architectures with model containerization using Docker is a must (Kubernetes experience will be an added advantage)
• Ability to communicate the requirements and deliverables effectively to both technical teams as well as non-technical domain specialists
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment
• Strong verbal and written communication skills to establish proper communications within the team and clients