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Senior Data Scientist

Senior Data Scientist
DHL
Singapore
SGD 80,000 - 120,000
Urgently required
Yesterday
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Senior Data Scientist

Be among the first applicants.
DHL
Singapore
SGD 80,000 - 120,000
Be among the first applicants.
Yesterday
Job description


DHL Express - a company that connects people!

What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world.

Distinguished as No.1 World’s Best Workplace by Great Place to Work and Fortune MagazineDHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment – to our business, each other, and our global communities. DHL is dedicated to being a great place to work. Start YOUR career with DHL today…

Role Purpose
The Senior Data Scientist is an advanced-level position within the data science job family. This role combines expertise in data science and business with the ability to create innovative, scalable, and reusable analytics products. The Data Science Senior is responsible for delivering global solutions.

How will you contribute to the success of DHL?

• Expert in a defined field, recognized by immediate colleagues and a broad community while maintaining strong broad expertise in general data science techniques.
• Act as a lead and technical mentor for individual projects developed by other experts/teams.
• Can identify and drive reusable analytics components, and create blueprints, libraries, and frameworks.
• Collaborate with stakeholders to identify data-driven opportunities and develop actionable insight on how to measure business impact.
• Lead the planning, execution, and delivery of data science projects to meet business objectives.
• Monitor and evaluate the health of analytics models in production and development, and propose improvements.
• Run self-dependently small products/services or sub-parts of large projects.
• Update the Global IT and Analytics community with the latest advancements in data science technologies, methodologies, and best practices.

Do you have what it takes?

• 10+ years of experience in Data Analytics. 5+ years of experience in data science (AI/ML, optimization, math).
• Good knowledge of at least one of the functional areas: customer relationships and sales, e-com/freight forwarding/express/logistics operations, and service operations.
• Minimum 5 years of experience in data science, with a strong understanding of programming languages such as Python, R, or SQL.
• Proficiency in statistical analysis, machine learning algorithms, and data visualization techniques.
• Excellent leadership and team management skills, with the ability to motivate and inspire a team of data scientists.
• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
• Proven track record of successfully leading and delivering data science projects and initiatives.
• Experience working Agile and DevOps; familiar with DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good oral and written English: ready to present to a technical audience.
• Advanced degree or equivalent experience in Computer Science, Engineering, Information Systems, Analytics, and Artificial intelligence.

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic

DHL Express Singapore Pte. Ltd. Aperia, 10 Kallang Avenue, Tower 2 11-10/18 339510 Singapore DHL Express GHO (SG Office) DHL Express Singapore Pte. Ltd.
Aperia, 10 Kallang Avenue, Tower 2 11-10/18
339510 Singapore
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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