Analytics and Modeling Manager | Data Scientist

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

Reports to:  Analytics and Modeling Senior Manager

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

 

Primary Job Responsibilities:

·      Leads the delivery of strategic advanced analytics solutions across different industries

·      Provide analytics insights and solutions to solve business problems that are specific to client requirements

·      Leverage analytics within transformation projects in operations through maturity assessments and one-time analytics projects

·      Support operations in fact-based decision making, RCA and strategic initiatives through data analysis, text analysis and statistical modeling.

·      Follow multiple approaches for project execution

·      Adapt existing assets to Operations use cases

·      Explore third-party and open source solutions for speed to execution and for specific use cases

·      Engage in fundamental research to develop novel solutions

·      Collaborate with other data scientists, subject matter experts, sales, and delivery teams from company locations around the globe to deliver strategic advanced analytics projects from design to execution.

·      Build and manage analytics team for at least two towers

Education & Experience Requirements:

·      Master’s or Ph.D. degree in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or related scientific disciplines

·      Work experience of at least 10 years in relevant industries (Financial Services, Network, Utilities, Health Care, Marketing, Pharma, Retail etc.) – with hands on experience handling data-driven decisions

·      Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments

·      Expert in statistical and other tools/ languages – e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala

·      Familiarity with relational databases and intermediate knowledge of SQL

·      Proven background in at least one of the following: Reliability models, Markov Models, Stochastic Models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric methods, Multivariate statistics

·      Aptitude to learn, think creativity to solve real world business problems, and work in a global collaborative team environment

·      Proficient verbal and written communication skills in English

Nice to Have:

·      Hands on experience in developing and delivering machine learning models that work in a production setting

·      Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like 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. A specific knowledge and ability typically needed to fulfil responsibilities associated with work done and consistent with a talent segment and role.

·      Has mastered the following skills:

o   Business Analysis, Requirements Gathering

o   Analytics Solutions Design Skills

o   Stakeholder Management Skills

o   Project Management Skills

o   Story Telling or Communication Skills

o   Critical Thinking and Problem-Solving Skills

·      Technical Skills Required:

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

·      Has advanced technical skills on the ff:

o   Data Visualization and Business Intelligence

o   Data Mining knowledge

o   Data Management

·      Has expert technical skills on the ff:

o   Analytical Skills (statistical analysis, data transformation, descriptive/predictive/prescriptive analytics)

o   Modeling and Algorithm Building

o   Analytics Solutions Design

o   Modeling Tools like R and Python

Domain and Industry Specialization:

·The knowledge and ability required to influence our clients’ business agenda and generate value in the context of the industries 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