Category: Technology Location: ResponsibilitiesSupport the Chief Data Scientist with all aspects of theData Science Workflow.§Business UnderstandingoLiaise withSubject Matter Experts for business understanding and problem definitionsoIdentifyand define business problems and client objectivesoWork withManagement and Clients to prioritize business and information needs§Data Acquisition and UnderstandingoAcquiredata from primary or secondary data sources and maintain databases/data systemsoWork withclients and internal departments to create data collection, storage and data integrityguidelines.oDevelop andimplement databases, data collection systems, and data analytics to optimizestatistical efficiency and qualityoValidate andmaintain data sources and data integrityoClean andMunge data as requiredoPerformExploratory Data Analysis as requiredoInterpretdata and analyse results using statistical and other techniquesoIdentify,analyse, and interpret trends or patterns in complex data setsoCreateVisualizations to investigate and report data findingsoReview dataand findings for consistency, validity and correctness§ModellingoDevelopModels to generate value for clients and the company; these include MachineLearning, Simulation, Scenario, Reinforcement Learning and Statistical models§DeploymentoMakerecommendations to add value, based on findingsoGenerateeasy-to-interpret reports based on collected data.oCreateinformative, actionable and repeatable reportingoConductinsightful, ad hoc analyses to investigate ongoing or one-time problemsoCreateproducts to communicate useful insights to clients and other stakeholdersRequirements Ideal candidateshould have a degree in a quantitative field : mathematics, computer science,physics, economics, engineering, statistics, operations research, quantitativesocial science, etc.). Good analytical and problem-solving abilities. ·Bachelor’s degree from an accredited university or college incomputer science. ·Work experience as a data analyst or in a related field. ·Ability to work with stakeholders to assess potential risks. ·Ability to analyze existing tools and databases and providesoftware solution recommendations. ·Ability to translate business requirements into non-technical,lay terms. ·High-level experience in methodologies and processes formanaging large-scale databases. ·Demonstrated experience in handling large data sets andrelational databases.Understanding of addressing and metadata standards. ·High-level written and verbal communication skills DetailsOriginally posted on Himalayas