Data Scientist

As a Data Scientist you will identify business trends and problems through complex big data analysis. You will interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. You will design, develop and implement the most valuable business solutions for the organization. You will prepare big data, implements data modules and develops database to support the business solutions. 

Responsibilities: 

• Work on existing Digital Products and understand and enhance the current intelligent models and innovatively improve them.
• Work with stakeholders to identify opportunities from data, drive innovation and a culture of Invention Disclosures.
• Translate data into actionable insights to empower confident decisions, product creation & development, drive optimization, marketing techniques, business strategies and outcomes.
• Research, develop, plan and implement predictive AI/ML/DL based algorithms, Optimization techniques for IoT, IIOT, Robotics and other digital products. 
• Develop, manage and maintain Machine Learning and Deep Learning models and algorithms to apply to data sets.
• Assess the effectiveness, efficacy and accuracy of new data sources and data gathering techniques.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Motivation and drive to seek out for new projects and opportunities.

Qualifications:

• Masters Degree - A Ph.D. in Electrical Engineering, Computer Science, or related fields is required.
• Strong oral and written communication skills.
• A collaborative mindset to excel in a team environment.
• Ability to take complex problem objectives and come up with innovative and flexible solutions.
• Proven track record of driving changes.
• Ability to reconcile complex possibly conflicting tasks and come up with realistic solutions
• Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc.
• Expertise with statistical techniques and their applications in business.
• Coding knowledge and experience with Python is a minimum. C, C++, Java, R and JavaScript is a plus.
• 3 years of experience in working with any of the deep learning frameworks like Pytorch, Tensorflow, Caffe, etc. 
• 3 years of a proven track record of independent thinking and complex problem-solving. Work can include papers in reputed conferences or journals and/or patent applications. 
• 3 years of a proven track record of R&D research in an industrial setting with multiple patents/patent applications. 
• 3 years of experience in robotics i.e., automation through reinforcement learning. 
• 3 years of experience in optimization theory like black-box optimization methods. 
• 3 years of experience in designing algorithms for IoT devices with resource and power constraints.