onsite

Senior Data Scientist (Director)

The Senior Data Scientist (Director) will be responsible for defining and implementing the enterprise-wide data science and AI strategy, driving strategic initiatives to achieve business growth and improve customer experience. This role involves building and managing the data science capability and team, while providing thought leadership and delivering actionable insights through advanced analytics and machine learning.

About the role

Purpose

Responsible for setting enterprise-wide data science and AI strategy, roadmap, process and tools to achieve Data Driven Decision Organization
Drive the implementation of strategic data science initiatives such as AI lab, ML, and customer analytics to achieve business growth, better customer experience and productivity improvement.
Building the Data Science capability and team for the firm while effectively managing this newly developed function.
Enable country data science team by strategy design, best practice sharing, necessary training and coach.

Key Accountabilities

Provide thought leadership and contribute to developing and executing detail data science and AI strategy and roadmap
Deliver actionable insights through machine learning and AI
Collaborate with stakeholders to define and develop new Product/Tool/Process innovation by using AI and Machine Learning
Challenge the way we do business through application of advanced analytics and data science including predictive modelling, machine learning, natural language processing, deep learning, pattern recognition, expert systems and AI

Qualifications / Experience

Bachelor's or higher in Computer Science, Statistics, MBA, or equivalent trade-off in related professional work experience.
~10 years strong experiences with Customer Analytics, Machine Learning, Data Mining, and Business Intelligence program development and implementation.
~5 years team management experience.
Familiar SAS, SPSS, R, Python, Spark, pylearn2, SQL
Actively seeks new AI/ML/data management technology options and approaches.
Strong people Management skills
Excellent communication skills and ability to work closely with business leaders to align with strategic goals.

Knowledge & Technical Skills

Knowledge of advanced analytics: linear regression, logistic regression, decision tree, neural network, random forest, k-means, ARMA, association rule, SVM, ANN, CNN, DNN
Tool: SAS, SPSS, R, Python, RapidMiner, Spark, pylearn2, SQL

About the role

Purpose

Responsible for setting enterprise-wide data science and AI strategy, roadmap, process and tools to achieve Data Driven Decision Organization
Drive the implementation of strategic data science initiatives such as AI lab, ML, and customer analytics to achieve business growth, better customer experience and productivity improvement.
Building the Data Science capability and team for the firm while effectively managing this newly developed function.
Enable country data science team by strategy design, best practice sharing, necessary training and coach.

Key Accountabilities

Provide thought leadership and contribute to developing and executing detail data science and AI strategy and roadmap
Deliver actionable insights through machine learning and AI
Collaborate with stakeholders to define and develop new Product/Tool/Process innovation by using AI and Machine Learning
Challenge the way we do business through application of advanced analytics and data science including predictive modelling, machine learning, natural language processing, deep learning, pattern recognition, expert systems and AI

Qualifications / Experience

Bachelor's or higher in Computer Science, Statistics, MBA, or equivalent trade-off in related professional work experience.
~10 years strong experiences with Customer Analytics, Machine Learning, Data Mining, and Business Intelligence program development and implementation.
~5 years team management experience.
Familiar SAS, SPSS, R, Python, Spark, pylearn2, SQL
Actively seeks new AI/ML/data management technology options and approaches.
Strong people Management skills
Excellent communication skills and ability to work closely with business leaders to align with strategic goals.

Knowledge & Technical Skills

Knowledge of advanced analytics: linear regression, logistic regression, decision tree, neural network, random forest, k-means, ARMA, association rule, SVM, ANN, CNN, DNN
Tool: SAS, SPSS, R, Python, RapidMiner, Spark, pylearn2, SQL