Industry Services > Hotel
Job number JO-190905-200354

Company overview

Global Hotel Chain

Job description

The primary responsibility of the Data Scientist Leader will be to solve business problems using data and analytics and deliver projects with his team. He / She will be required to work with business partners to define data science requirements and work with team to build/deliver/implement the solutions. As a Leader, he/she will also be responsible for building and developing the team in collaboration with other business leaders.

Top Level KPIs
• Data Science Interventions to improve
- Product Conversion across our key platforms
- Gross Margin
- Consumer Engagement on platform
- Consumer Success Metrics

The Head, Data Science will have a large team reporting to her or him including the following key leaders:
• Manager - Machine Learning
• Manager - Business Analyst
• Manager - Data Engineering / Visualization

• Manage a large team of data scientists (machine learning engineers, Business Analysts and data engineers)
• Collaborate effectively with internal stakeholders - Technology, Product, Marketing, CRM and other Analytics teams in the creation and deployment of useful insights that form and activate business strategies across the business.
• Develop a deep understanding of consumer behaviour and conceive, plan and prioritize data science projects to solve different business problems across customer journey.
• Responsible to drive education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics

Requirements

• Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.

• At least 12 years of working experience in data science positions, preferably working as Lead/Head Data Scientist.

• The candidate for this position must have experience with a broad range of applications and data environments, such as: R, Python, MatLab, SQL, Tableau, Hadoop
• The candidate must also have a proven and successful experience track record of leading high-performing data analyst/data science teams leading through the successful implementation of advanced quantitative analyses and machine learning models.
• Team Leadership and Large team handling Experience. Especially working with leaders of leaders.
• Ability to execute in an intense fast-paced, and highly iterative environment;
• Efficient Stakeholder Engagement and ability to Influence for driving key business outcomes.

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Eileen Tian

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