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No of position :- ( 1 )
Post :- 9th Apr 2022
1.Job title COGNIZANT IS LOOKING FOR GCP BIG DATA DEVELOPER
2.Job summary • Minimum 6yrs experienced 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, technologies and solutions. • This is a hands-on technical role. Candidate must have hands on experience on o Regression o GBM, D-Tree o Clustering o StateSpace Algorithm
3.Experience 10to12yrs
4.Required Skills Technical Skills- ,SQL Developer,Big Data Management,Big Data Domain Skills-
5.Nice to have skills Techincal Skills- Domain Skills-
6.Technology Data Management
7.Shift Day 9 TO 6
8.Roles & Responsibilities • 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.