Cognizant
Location
Chennai | India
Job description
Not Applicable
Qualification :
/nPost grad in one of the following fields with strong academic credentials/n Computer Science/IT/nOperations Research/Applied Math/nEngineering/n StatisticsResponsibility :
Business/nWorks with the business team to identify the right business objective and data required to answer the sameDesigns and executes a data collection plan from both structured and unstructured sources that helps in data exploration hypothesis testing and statistical modelingReviews data analysis and insights which can be articulated to business stakeholdersDevelops POCs that can be used to generate business decisions Designs and simulates several scenarios through an interactive visualization that deepens the business understanding with underlying trends and root causesDevelops hypothesis for testing in consultation with Domain SME and Business teamsUnderstand and execute wide range of client requirements in terms of data modeling machine learning statistical analysis algorithm development analysis planning etc/nStakeholder Management :
Design qualitative quantitative research instruments methods example machine learning models surveys interviews etc to capture the data if required/nIntegrate qualitative and quantitative information to create insights/n Design development of new statistical algorithms/nRun various statistical analysis on the data collected from different sources to derive business insights and evaluate the business risks based on the statistical analysis/nProject Management/nEnsure that the work goes ahead in a way that conforms to DS delivery framewrok and fulfills all outputs specifically outlined by stakeholders/nWork with Business Operations and Delivering teams on designing building and deploying data analysis systems for large data sets/nIdentifies risks to project execution and works with stakeholders to mitigate the same/nExecute the design analysis or evaluation of assigned projects using sound engineering principles and adhering to business standards practices procedures and product /program requirements/nData Analytics and Reporting/nExplore and examine data from multiple disparate sources/nPrepare a data collection plan from both structured and unstructured sourcesCollaborate and co ordinate with Technology and Business teams for all data needs/nExpert level proficiency in data handling SQL Data Discovery & Profiling/nPerform exploratory data analysis and generate insights Validate hypothesis developed during exploration phase Present initial results to business stakeholders and identify the next stepsDesign experiments with test and validate multiple hypothesis to meet/exceed expectations of customer due to the dynamic environmentData Modelling/nCreate models using one or more of the platforms like R SAS Python Matlab/nModel creation would involve one or more of the following technqiues1/nAll of that covered under Senior data Scientists the following 2/nCollaborative Filtering3/nOptimization4/nNeural Networks & Deep Learning5/nGeospatial Analytics6/nGenetic programming/nTesting and validating the model/nDeriving insights and recommendations from the models/nPerforming data visualization and presentation to clients/nInnovation & Thought Leadership/nProvide thought leadership and dependable execution on diverse projects/nimplement best practices and technology/nDiscover new opportunities where advanced analytical techniques can be leveraged for solving business problemsWrite whitepapers on innovative techniquesProvide expertise thru PoCs and PoVs/nKnowledge Management Document all modeling steps in a systematic way including modeling process insights generated presentations model validation results and checklists built in the projectPrepare a one pager document that outlines and quantifies the business impact due to the DS project/nConduct knowledge sharing sessions in a systematic way to ensure that associates have the right level of expsoure to all best practices in DSBuild and guide the learning needs of data science organization Ability to articulate innovative ideas and concepts/nPeople/Team Management Mentor a team of Data Scientists Senior and Lead Data Scientists Understand aspirations of team members/n Set goals for team members and monitor performance/n Conduct appraisals/nIdentify priorities and deploy action items for competency development/n Guide the employee in setting career paths/n Participate in talent selection/nReview progress on employee engagement activities/nBuild a strong Data Science team to support and deliver on the above objectivesMust Have Skills
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : Feb 15 2024
About Cognizant
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow usJob tags
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