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 Data Scientist is an expert-level position. This role requires strong technical expertise, the ability to understand business problems, and own quality of the analytics solutions deployed into production.
The role location can be Singapore or Cyberjaya, Malaysia.
How will you contribute to the success of DHL?
- Collaborate with stakeholders to define business opportunities and how to address them with data science strategies, objectives, and priorities.
- Accountable (owns) the completeness and accuracy of the Analytics Requirements.
- Drive the development and deployment of complex predictive models and machine learning algorithms.
- Accountable for data science input into the design, development, implementation, monitoring, and SLA of major solutions.
- Own the configuration and Implementation of data science models using the agreed technologies components (e.g. Python).
- Able to manage multiple deployments concurrently.
- Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
- Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
- Run self-dependent small projects (POC) or sub-parts of large projects.
- Communicate data science initiatives and results to senior management and other relevant stakeholders.
- Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.
Do you have what it takes?
- Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
- 7+ years of experience in business intelligence/ data mining.
- 4+ years of experience in statistical /ML data modeling.
- Professional Certification in Agile.
- Diverse knowledge of where to apply and how to evaluate results of statistical, machine learning, and data mining techniques.
- Fluency in programming languages\frameworks: SQL, Python, etc. Strong visual design skills used in creating information-dense, easy-to-understand reports and dashboards (with examples): MS Power BI, Python, or JavaScript-based visualizations.
- Working knowledge of Agile and DataOps.
- Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
- Good knowledge of at least one functional area: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.
- Excellent communication and presentation skills (English), including the ability to translate technical concepts for non-technical stakeholders.
- Analytical: Synthesize complex or diverse information; Able to source and prepare data; Design data flows; Challenge and re-validate conclusions.
- Design: Apply design principles; Demonstrate attention to detail.
- Problem Solving: Identify and resolve problems in a timely manner; Foresee and communicate potential issues; Develop alternative solutions; Work well in group problem-solving situations.
- Business Acumen: Understand the business implications of data for decisions.
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
Aperia, 10 Kallang Avenue, Tower 2 11-10/18
339510 Singapore
