• 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 :- 10th Jun 2022

• Minimum 5 yrs experience in Hands-on Data Science work
• He/She will be responsible for collaborating with global cross functional teams in Identifying/analyzing/interpreting digital trends/optimizing&
personalizing' digital sales experience using data science products, technologles and solutions,
This is a hands-on technical role. Candidate must have hands on experience on
• Regression
• GBM. D- Tree
• Clustering
• StateSpace Algonthm
Candidate must have hands on experience on running SQL Scripts for
• Descriptive Analysis
• 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
eftectiveness 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 analyticaltechnology process and solutions with a focus on leveraging advanced machin
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 b
results.
Build analytical solutions and models by manipulating large data sets and integrating diverse data sourcos.
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.