Senior Data Science Engineer

About Us:

With a legacy of over 30 years, Inspirisys has excelled in driving digital transformation through cutting-edge technologies and as a subsidiary of CAC Holdings Corporation Japan, we embrace the core tenets of Japanese work culture, prioritizing quality and attention to detail to ensure our solutions meet the highest standards. This expertise has solidified our position as a trusted partner for industry-leading OEMs in the digital age. We specialize in custom-tailored solutions in Infrastructure, Enterprise Security & Risk Services, Cloud, Banking and Product Engineering & Development, empowering clients to meet their digital objectives.

Requirements / Responsibilities:
•    Should have minimum 7 years of experience
•    Apply design and data analysis techniques to organize the presentation of data in visually innovative ways in order to make it easier to understand, insightful, and actionable by end users
•    Apply knowledge of ML, statistics, programming and advanced mathematics to recognize patterns & identify new opportunities for prototype building.
•    Design, develop, and evaluate predictive ML/AI models that are on par with industry standards & define metrics that measure success & customer value delivery
•    Work with engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation of the same.
•    Work closely with management to prioritize business and information needs and define new process improvement opportunities
•    Should have knowledge in Statistics (Hypothesis testing, Discriminant analysis, Linear/Logistic regression, PCA,Vector-analysis) Forecasting (Time Series) Machine Learning & AI (Classification, Clustering, Collaborating filtering, Neural Network) Multi-Media Analytics : Text mining(with sarcasm identification), video & voice analytics Advanced Analytics : Deep Learning, Cognitive Analytics Customer journey analytics/mapping
•    Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks)
•    Strong understanding of ML concepts - Probabilistic Models, Supervised and Unsupervised Learning, Neural Networks & Deep learning
•    Extensive experience in Micro services, Rest Services, JPA, Automated unit testing using tools
•    Good Communication, analytical, grasping and problem solving skills.