Senior Data Scientist

Roles & Responsibilities:

• 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.
• Prefer experience with Visual Analytics