• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Aug 2022

• Candidate must have hands on experience on running SQL Scripts for : o Descriptive Analysis o Predictive Analysis

• The individual should have good communication, organization and presentation skills.

• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

• The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

• Must have experience working on Advanced Analytics using Big Data, Data Warehousing, Cognitive and Heuristic platforms.

• Research, design, implement, and oversee high-end analytical/technology process and solutions with a focus on leveraging advanced machine learning, artificial intelligence and cognitive methods.

• Work with the business to understand the requirements of the digital challenges, heuristic, machine and cognitive analysis and communicate back the results.

• Build analytical solutions and models by manipulating large data sets and integrating diverse data sources.

• Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.

• Perform exploratory and targeted data analyses using descriptive statistics and other methods.

• Apply machine learning and statistical techniques to large data sets to find actionable insights.

• Use complex algorithms to develop systems & applications that deliver business functions or architectural components.

• Present results and recommendations to senior management and business users.

• Responsible for providing line of sight to data quality and gaps where issues need to be addressed.

• Communicate the business value of technical solutions.

• Discover mutually beneficial solutions across customers while recognizing different styles.