Data Scientist

Singapore, , Singapore

Customer Solutions & Innovation

62664

As the innovation leader in the logistics industry, Deutsche Post DHL Group (DPDHL) focuses on output-oriented innovation management. DHL Asia Pacific Innovation Center (APIC) drives trend research and development of innovative and future-ready supply chain solutions in addition to serve as a regional platform for collaborative innovation with customers, industry partners, research institutes and academia.

Formed in 2016, DHL Applied Analytics is a part of APIC and aims to spearhead the design and development of innovative customer-centric analytics solutions towards the development of new business concepts and value-add across the supply chain.

If you are a dynamic team player with an entrepreneurial spirit to make a change with your skill set and potential, we’d like to welcome you to explore the career opportunities available with DHL Applied Analytics

Key Accountabilities

Analytics Solution Design and Development

•Design and implement innovative solutions using statistical models, machine learning and other data mining techniques

•Handle challenges of analyzing real-world data, such as incompleteness, bias, class imbalance and high volatility

•Create effective visualizations and dashboards to communicate insights with end-users

•Support the development and deployment of scalable and robust software solutions, working with IT solutions engineers

Project Management

•Engage with customer management teams to understand business requirements, project scope and develop a sound project plan

•Think strategically and creatively, to exploit data science for a competitive advantage

•Manage project implementation (for analytics scope only) to ensure that solutions are delivered on time and on requirements

Knowledge Development and Management

•Research and experiment with new advances in analytical methods, algorithms and tools to deepen and develop new capabilities (i.e. deep learning, optimization, parallel computing)

•Elevate team competencies by sharing the latest trends and best practices

•Support knowledge management by ensuring that learnings and insights arising from conferences, projects and industry engagements are documented

REQUIREMENTS

• 2-5 years experience in Data Science, Analytics
• Experience with Python, including packages such as NumPy, Pandas and scikit-learn
• Experience in training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.
• Experience in data visualization tools or libraries such as Tableau, Power BI or packages in Python or Javascript
• Experience with RDBMS such as MySQL, PostgreSQL, MongoDB, MS SQL Server
• Good verbal and written communication skills
• Good project management and organization skills
• Enjoy self-direction, self-learning and creativity
• Good team player

Nice to have:

• Experience in developing NLP (Natural Language Processing) and image recognition models
• Experience with deployment and maintenance of models in production, e.g. APIs with capped response time, performance monitoring, automatic retraining and tracking data/ model lineage
• Experience with cloud platforms like Azure or GCP, especially in relation to data science
• Experience with Docker, Kubernetes and other supporting container platforms/ tools
• Experience in data crawling including popular social APIs and web scraping
• Experience with application development, particularly full stack web development
• Experience with Hadoop

Facts and Figures

Business Unit

• DHL Express (Singapore) Pte. Ltd.

Employment Type

• Permanent Full-Time