Analytics and Modeling Manager | Data Scientist

Analytics:Create new insights from predictive statistical modeling activities thattarget and deliver value to our clients.

Reports to: Analytics and Modeling Senior Manager

General role description: The function focuses ondelivering advanced analytics as a service.

Primary Job Responsibilities:

• Leads the delivery of strategic advancedanalytics solutions across different industries
• Provide analytics insights and solutions tosolve business problems that are specific to client requirements
• Leverage analytics within transformationprojects in operations through maturity assessments and one-time analyticsprojects
• Support operations in fact-based decisionmaking, RCA and strategic initiatives through data analysis, text analysis andstatistical modeling.
• Follow multiple approaches for project execution
• Adapt existing assets to Operations use cases
• Explore third-party and open source solutionsfor speed to execution and for specific use cases
• Engage in fundamental research to develop novelsolutions
• Collaborate with other data scientists, subjectmatter experts, sales, and delivery teams from company locations around theglobe to deliver strategic advanced analytics projects from design toexecution.
• Build and manage analytics team for at least twotowers

Education & Experience Requirements:

• Master’s or Ph.D. degree in Statistics,Mathematics, Computer Science, Economics, Physics, Engineering, or relatedscientific disciplines
• Work experience of at least 10 years in relevantindustries (Financial Services, Network, Utilities, Health Care, Marketing,Pharma, Retail etc.) – with hands on experience handling data-driven decisions
• Experience in statistical modeling, machinelearning, data mining, unstructured data analytics in corporate and/or academicresearch environments
• Expert in statistical and other tools/ languages– e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala
• Familiarity with relational databases andintermediate knowledge of SQL
• Proven background in at least one of thefollowing: Reliability models, Markov Models, Stochastic Models, BayesianModelling, Classification Models, Cluster Analysis, Neural Network,Non-parametric methods, Multivariate statistics
• Aptitude to learn, think creativity to solvereal world business problems, and work in a global collaborative teamenvironment
• Proficient verbal and written communicationskills in English

Nice to Have:

• Hands on experience in developing and deliveringmachine learning models that work in a production setting
• Experience working with large data sets andtools like MapReduce, Hadoop, Hive, etc. and large data streaming technologieslike Spark, Flink, etc.
• Experience in any of these domains:Infrastructure Services, Security, Retail, Digital Marketing, eCommerce,Insurance, Supply Chain, Banking, Capital Markets, etc.

Functional Skills Required:

• The knowledge and ability required to design,develop and deliver people and process solutions for clients and company. Aspecific knowledge and ability typically needed to fulfil responsibilitiesassociated with work done and consistent with a talent segment and role.

·Has mastered the following skills:

oBusiness Analysis, Requirements Gathering

oAnalytics Solutions Design Skills

oStakeholder Management Skills

oProject Management Skills

oStory Telling or Communication Skills

oCritical Thinking and Problem-Solving Skills

• Technical Skills Required:

The knowledge and ability required to design,develop and deliver IT, platform, architecture, software and infrastructuresolutions for clients.

• Has advanced technical skills on the ff:

oData Visualization and Business Intelligence

oData Mining knowledge

oData Management

·Has expert technical skills on the ff:

oAnalytical Skills (statistical analysis, datatransformation, descriptive/predictive/prescriptive analytics)

oModeling and Algorithm Building

oAnalytics Solutions Design

oModeling Tools like R and Python

Domain and Industry Specialization:

• The knowledge and ability required to influenceour clients’ business agenda and generate value in the context of theindustries in which they operate.

·Cross-industry Knowledge – APPLIED

·Cross-domain Knowledge – MASTERED

Leadership Skills Required:

·Innovate for Results

·Advocate a compelling vision

·Collaborate across ecosystem

·Execute with Agility

·Personalize in a truly human way