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
Education:
Bachelor’s, Masters or Doctorate in Computer Science, Information Systems and related Engineering disciplines
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
Job Type: Full-time
Location: Jacksonville, FL