Principal Data Scientist,Kolkata On-site

Job Description:

About the job

AI Labs is bringing together the brightest talents in the world to integrate AI into the DNA of each business inside and outside . With  presence across Energy, Airport, Port & Logistics, Cyber Security, E-Commerce, FMCG (and more!) we have the domain know-how to design, build and scale AI products in the market at lightening speeds.

The Principal Data Scientist will have the opportunity to lead and develop the Data Science competency within theAI Lab. They will get to contribute a unique perspective and creative approach to problem solving by using the diverse set of complex data provided by different Business Units. The wide spectrum of Business Models and sectors will ensure a continuous availability of exciting AI Use cases for the Principal Data Scientist to solve. They will be challenged and provided with tremendous growth opportunity in a business facing, fast paced, agile environment.

You will have an opportunity to collaborate and work with various other Principals and teams of AI Architects, Data Engineers, ML Engineers and Solution managers and contribute first-hand to the ambitious growth journey of AI Labs by processing large datasets and subsequently analysing it for the discovery of data patterns/trends.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Define processes for creating data science solutions and use advanced analytics to support AI Lab Team
• Mentor Data Science Team to address data science solution requirements
• Drive evangelization of data sciences across the organization by communicating the use cases of advanced analytics
• Track industry trend, drive data standards and best practices, and leverage latest industry technologies to increase efficiency of Data Science prototypes
• Ensure that AI solutions create measurable business value (aligned with business objectives of asset utilization, employee engagement, customer engagement, and business modelling) and generate actionable business insights
• Collaborate with the solution management, data engineering, ML engineering and AI Architect teams to create and drive the solution roadmap
• Create statistical models from abstract business use cases
• Drive the data science practice by setting SMART goals and drive delivery of the data science component of AI solutions and implementation of statistical Models
• Actively identify and resolve strategic data issues that may impair the team’s ability to meet strategic, scientific, and technical goals
• Present the results of data science prototypes before non-technical members (e.g., Business Teams) of the organization through presentations and immersive storytelling
• Collaborate with Business Data Analyst, AI Champion and Solution Managers to define business requirements and fulfil solution data requirements
• Collaborate with Data Engineer, ML Engineers, AI Architects and Solution Managers to create DL and statistical models
• Build Capacity and capability for the Data Scientist function
• Nurture a high-performance culture

 Qualifications

• At least 12 - 15 years' of experience in Artificial Intelligence, Data Science or related Fields.
• B.E/B.Tech and M.E./M.Tech (IT/Computer Science/Data Science)
• M.Sc./M.A. in Data Science/Economics/Statistics
• PhD in an AI discipline (preferred)
• Deep understanding of applied statistical analysis and predictive modelling is desired such as regression, SVM, Tree, Random Forests, Boosting, Neural Network, clustering, forecasting, pattern analysis
• Strong know-how of data exploration techniques, such as, mean-variance, k-means, nearest-neighbour, outlier techniques, and correlate anomalous sequences of events
• Extensive know-how of Python /R and in object-oriented programming languages with high code quality
• Passionate about applying emerging DL/ML frameworks to solve business problems and like working in an extremely dynamic, fast paced environment
• Proficiency with data mining, applied mathematics, and statistical analysis
• Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Ability to articulate data-driven insights in business context
• Ability to convert use cases into solvable problem statements and define solution roadmap