Initiative Expert (Data Scientist)

I. TRIBE PURPOSE

• The Data & Analytics Tribe will support the business by identifying trends and helping business to anticipate future customer behaviors to better understand the implications of business decisions


• The Data & Analytics Tribe will leverage leading edge technology and capabilities, applying machine learning and statistical modelling to help stakeholders understand the changing business environment, discover new growth opportunities and determine where business improvements can be made


• The Data & Analytics Tribe will be equipped with capabilities in Big data, advanced analytics and Machine Learning

II. ROLE PURPOSE

• The Data Scientist advises and provides business with insights from massive amounts of structured and unstructured potential data to help shape or meet specific business objectives


• The role will build data science solutions using advance machine learning and deep learning methods, recommendation engines, statistical analysis, data mining and data visualization techniques, to create solutions that enable enhanced business performance

III. RESPONSIBILITIES

Data Solutioning

• Build algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, customer journeys, graph modes, etc.


• Mine and analyze data from company’s databases to drive optimization and improvement of business strategies


• Use predictive modelling to increase and optimize customer journey experiences, revenue generation and other business outcomes


• Analyze data for trends and patterns and interpret the data with clear objective in mind


• Execute and review data science projects in an agile manner and in compliance with internal regulatory requirements

Data Insighting

• Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources


• Develop processes and tools to monitor and analyze model performance and data accuracy


• Interact with 1-2 squads to identify questions and issues for data analysis


• Assess the effectiveness and accuracy of new data sources and data gathering techniques

Domain Expertise

• 3+ years of experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models


• Experience in querying databases and using programming languages (e.g. C, C++, R, Python, Scala, SQL, Java, Tableau, R)


• Experience communicating complex analysis and models across a diverse team


• Experience using of data optimization (linear / non-linear) to solve constrained business problems

Agile/Digital Experience

• Experience in Agile Software Development and has a strong understanding of Agile methodology and practices


• Experience working in Agile teams to manage digital transformation projects

Qualifications

• Bachelor's degree in statistics, mathematics, quantitative analysis, computer science, software engineering or information technology