Essential Duties and Responsibilities:
- Interacts with product and service teams to identify requirements for data science constructs.
- Develops and codes data science constructs, statistical models, ML models, and algorithms
- Develops and codes automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Identifies meaningful insights from large data and metadata sources;
- interprets and communicates insights and findings from data science experiments to product, service, and business managers.
- Create statistical and machine learning models with emphasis on predicative and prescriptive insights and recommendations.
- Support creation of visual graphics to adequately communicate historical data corelation with insights, foresights and recommendations (Believable AI)
- Support evaluation of 3 party analytics algorithms and modelling framework
- Support Integration of statistical and ML models into Zebra’s platforms, products or services by collaborating with software development and Services team
- Perform data analysis of customer specific data to help diagnosis customer specific anamolies
- Evaluate and define new data to collect for products or services under consideration for development or in development cycle
- Meet with customers and present findings and experiments results; also gather customer requirements relative to data science constructs, statistical models, data analytics, data modeling, data visualization etc.