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Job Location | Mumbai City |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software |
EmploymentType | Full-time |
Understand clients business needs, and design solutions to address the same Evaluate different statistical, machine learning, and data science techniques to identify the ones that delivers maximum value to clients at a reasonable effort Identify data requirements for solving business problems, and use appropriate packages and tools to build predictive and prescriptive model that deliver actionable insights Lead client and project engagements and ensure that timelines and deliverables are being met or bettered (Travel may be required) Develop and implement analytical / statistical methodologies, and learn and apply new statistical analysis and big data tools Provide thought leadership and solutions, but not limited to: Fraud Detection, Yield Management, Customer Segmentation, Assortment Optimization, Affinity Modelling, Survival Analytics, Response Prediction, Personalization Recommendations, Channel Attribution, Marketing Mix Optimization Prepare case studies and white papers, and deliver seminars and workshops to demonstrate the scientific leadership of Sciative Solutions and how it delivers value to clients businesses Qualification: MS / PhD in Statistics, Economics, Mathematics, Computer Science, or related field 0 - 3 years of demonstrated hands- on experience (4+ years for Sr. Big Data Analyst) designing and applying ML/ statistical techniques to solving complex business problems at scale Demonstrated experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements High proficiency in design of algorithms, design of experiments Experience in Machine Learning, Statistics, Operations Research techniques Proficiency in at least one of MlLib, R or Pythons data science stack High Proficiency in relational databases, data management concepts and SQL scripting Experience in Spark preferred (but not essential) Understand client s business needs, and design solutions to address the same Evaluate different statistical, machine learning, and data science techniques to identify the ones that delivers maximum value to clients at a reasonable effort Identify data requirements for solving business problems, and use appropriate packages and tools to build predictive and prescriptive model that deliver actionable insights Lead client and project engagements and ensure that timelines and deliverables are being met or bettered (Travel may be required) Develop and implement analytical / statistical methodologies, and learn and apply new statistical analysis and big data tools Provide thought leadership and solutions, but not limited to: Fraud Detection, Yield Management, Customer Segmentation, Assortment Optimization, Affinity Modelling, Survival Analytics, Response Prediction, Personalization Recommendations, Channel Attribution, Marketing Mix Optimization Prepare case studies and white papers, and deliver seminars and workshops to demonstrate the scientific leadership of Sciative Solutions and how it delivers value to clients businesses Qualification: MS / PhD in Statistics, Economics, Mathematics, Computer Science, or related field 0 - 3 years of demonstrated hands- on experience (4+ years for Sr. Big Data Analyst) designing and applying ML/ statistical techniques to solving complex business problems at scale Demonstrated experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements High proficiency in design of algorithms, design of experiments Experience in Machine Learning, Statistics, Operations Research techniques Proficiency in at least one of MlLib, R or Python s data science stack High Proficiency in relational databases, data management concepts and SQL scripting Experience in Spark preferred (but not essential),
Keyskills :
hadoop environment analytics etl sql designofexperiments bigdata datascience casestudies whitepapers sqlscripting marketingmix datamanagement frauddetection computerscience tatementsofw ksow ma