We are searching for a top talent Data Science Technologist to be a big part of our Decision Science Content Capabilities team.
The candidate will serve as one of our local anchors and a binding thread for existing and incoming talent as we build a best-in-class team.
In this job you will succeed by using advanced content modeling, and analytical techniques to interpret and implement key findings into initiatives that will support business outcomes.
The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple products, teams, and business units.
Java, Spring boot, Angular JS, My Sql, Tomcat, Rest API
Provide expert input on several initiatives underway in the organization
Be the subject matter expert and facilitator for all engineering and decision science related decisions to all stakeholders
Apply advanced analytical techniques and algorithms to improve current solutions as well as develop cutting edge offerings / solutions.
Expert in the management, manipulation, and analysis of very large datasets.
Expert in big data / advanced analytics concepts and algorithms
Strong CS fundamentals are a must. (Data structures, Algorithms, OS, Databases)
Programming experience in building high quality applications, data pipelines and analytics solutions.
Strong Experience in developing Big Data applications using Java, Spark, R, Python and J2EE technologies
Oversee (and own select) projects that involve advanced analytics including machine learning, AI, NLP and Deep learning concepts.
Experience with all aspects of software development lifecycle and agile methodologies.
EDUCATION AND EXPERIENCE
Bachelor’s in Engineering from Tier 1 institute (preferably IIT) OR
PhD in Computer Science (OR Statistics) / MTech / MS from a premier institute would be highly preferred
A minimum of 5+ years of relevant industry experience.
Experience of working in an international and cross-cultural environment
All Locations : IND-Pune-Kalyani Nagar