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