We are seeking a passionate individual who can help us discover the information hidden in vast amounts of data. The person should have at least 2 years of work experience of analyzing data and creating analytical solutions to business problems. Self-motivated and self-starter with high degree of work ethic with ability to thrive in a fast-paced, entrepreneurial, high-energy environment that requires multi-tasking capabilities and implement high priority initiatives.
Will be responsible for designing, developing, programming and Implementing Machine Learning Models, Implements Artificial Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real business problem solutions and product features development and enhancements.
Assessing the effectiveness and accuracy of new data sources and gathering techniques and providing timely communications on significant issues and developments.
Building a Data Science Framework designed to handle large volume data sets.
Develops, codes software programs, implements industry standard auto ML models Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms
Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence
Interacts with Cross functional teams to identify questions and issues for data engineering, ML models feature engineering
Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings
Recommends research and experiments (e.g. for various ML models) on customer specific data to come out with foresights and insights to solve customer specific business problems and bring efficiencies in customer specific business processes
Evaluate and make recommendations to evolve data collection to improve efficacy of ML models prediction.
Evaluate and define new data to collect for products or services under consideration for development or in development cycle based on experiments and feature engineering results and needs
Possess exceptional coding skills in Python & various libraries available and experience in applying data science to business problems
Strong knowledge of Data Structure & Algorithms
In depth knowledge of Data science tools - Big Data, Hadoop, Spark, Kafka
Experience: 4 to 6 years
Education: B. Tech/ MCA
|Experience Required||4 years|
|Employment Type||Full Time|
|Vacancies Available||1 available|