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ork closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions. · Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for ...
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We are looking for a highly skilled Data Scientist with strong experience in Anti-Money Laundering (AML) systems and expertise in Python to join our banking analytics team. · 6-10 years of experience in Data Science or AML analytics within the Banking/Financial Services domain. · ...
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Data Scientist · About the Role · We are seeking a data-driven and detail-oriented Entry-Level Data Scientist to join our semiconductor engineering team. This role is perfect for recent graduates eager to apply data science to solve complex challenges in product development, test ...
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Senior Data Scientist - Singapore - DHL Express (Singapore) Pte. Ltd
Description
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.
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