Build Predictive modeling ecosystems for real-time consumption
Design and develop advanced Machine Learning algorithms to rapidly build analytics apps and operationalize them into production
Deliver innovative solutions driven by exploratory data analysis from complex and high-dimensional data sets.
Develop Analytics applications using R/Python/Spark with Regression, SVM, and Neural Networks techniques
Apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.
Work with support teams in resolving operational & performance issues
Work in a Big Data environment with Hadoop, Spark, Hive
Qualifications:
Expertise in Data Science, Predictive modeling, Machine learning, NLP, and Deep learning
Relevant background in Applied mathematics, Statistics and Optimization.
Extensive experience with R and Python
Must have applied experience in Machine Learning and Custom algorithm implementations
Worked in projects involving processing of large data sets, applying different algorithms to build machine learning models which help in prediction and building applications and charts to display the results.
Required experience: 4+ years as a Data Scientist, R Studio, Python, Strong SQL skills, Agile environment (Strong Statistical Application Development)
Preferred: Hadoop, Spark, Hive
Analytical approach to design, develop, and evaluate predictive models, generate and test hypotheses.