Lead - Data Scientist

4 weeks ago

Chennai, India Royal Enfield Full time
Job RequirementsPosition titleLead - Data Scientist

Reports toHead

Job gradeTeam Manager

LocationChennai

Job PurposeThe Lead-Data Scientist is responsible for developing advanced analytics models and algorithms required to bring “intelligence” to digital products. The incumbent will have experience with crunching large amounts of data using machine learning tools to derive insights and develop algorithms. He/ she will be required to be familiar with all major tools and techniques and have the ability to bring clarity on the best ones to use in different situations.

Key ResponsibilitiesUnderstand the business objective and develop the data analytics plan to identify issues and propose solutionsIntegrate data from a variety of sources and look for opportunities to generate insightsPerform complex data analysis and build models to help derive business insights, solve complex business problems and improve decisionsBuild data science models to predict risk and other key metricsDeploy statistical modelling and optimization techniques most suited for the business problem (using R, Python, SQL, and/or other relevant tools)Discuss and explain the process of data collection, architecture, associated costs trade-offs and recommendationsImplement the model life cycle from ideation to hypothesis generation, data extraction and exploration, model building and validation, results communication, and operationalizationInterpret and share outputs of your quantitative analysis and statistical models into specific and actionable business recommendations and implicationsCreate new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision makingCollaborate with diverse teams and job functions throughout the organizationBe accessible as the subject matter expert for internal auditors on data science principles and techniquesPartner with internal audit members on ad-hoc analysis in support of audit and investigations

Work ExperienceEducationAdvanced degree (Masters to PhD) in Computer Science/ Mathematics/ Operations Research/ Statistics or other related fields

Experience6+ years’ experience working with data science projects and applying analytical modeling to solve business problemsExperience working on big data assignments in analytics domains such as customer 360, car data analytics, telematics solution, predictive maintenance, pricing and purchasing optimizationAdvanced knowledge of mathematical techniques; clustering, k-means, kernel density estimators, random forest, neural networks, regression, linear programming and Monte Carlo simulationFluent in at least two programming languages; C++, Hadoop, MATLAB, Python, R, SAS, SPSS, SQL

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