Job Description :
We are looking for a Vice President, Data Science to drive and oversee data science capabilities for our businesses by envisioning and executing strategies that will influence and enable our business’s performance.
The Vice President will lead a team of data scientists to plan and prioritize the data science projects, build analytics models, utilize cutting edge machine learning, deep learning and advanced big data techniques to identify opportunities, drive data-driven solutions and present insightful recommendations to stakeholders that positively impact our diverse businesses.
Lead, manage and coach a team of data scientists at different levels to support various aspects of the business with advanced data analytics tools and technologies
Plan and prioritize the roadmap of data science projects to realize business strategy / needs for delivery
Build predictive models using machine learning and deep learning algorithms
Provide thought leadership in identifying business-wide opportunities and deriving actionable insights from data
Present customer insights and recommendations to senior management and business units to win buy-in
Execute, manage and review complex data science projects in agile manner and track the business performance against the data models
Collaborate with IT team to propose appropriate data science technology considerations
Recruit and train data scientists with technical capabilities uplifted and promote data best practices within the organization
Master degree in Data Science, Computer Science, Mathematics, Statistics or relevant discipline
At least 10 years’ relevant experience in data science areas
Hands-on experience in machine learning and deep learning algorithms
Proven track record in building data analytics applications to realize enterprise value at scale with broad coverage of use cases across the value chain
Exposure to a wide spectrum of big data technologies (e.g. Hadoop, Spark, TensorFlow), database technologies (e.g. SQL, NoSQL, Graph databases), programming frameworks (e.
g. Python, R, Scala, Java), and data visualization tools (e.g. Tableau, QlikSense)
Solid experience in big data strategy and data management (e.g. GPU cluster management, secure and privacy-protecting data sharing techniques)
Data analytics experience in different service industries (e.g. telecom, financial services, e-Commerce, customer loyalty) with strong business mindset
Strong organizational and problem-solving abilities combined with excellent communication and presentation skills to clearly elaborate the data analysis and insights to stakeholders
Experience in leading and coaching a team of data scientists