Data Scientist / Data Analyst

What You Can Expect

Data Scientist role:

• Design and Implement Advanced Analytics Solutions: Develop, deploy, and manage data-driven models and algorithms in R/Python to drive actionable insights, with a focus on optimizing inventory and asset allocation, reducing freight costs, and enhancing customer satisfaction.
• Deliver Business Insights: Collaborate with subject matter experts to provide meaningful analytics and insights that directly inform decision-making processes in Commercial Operations.
• Develop and Optimize Reporting Infrastructure: Build, maintain, and enhance data pipelines and architecture to support automated, scalable reporting solutions that leverage data from diverse sources.
• Enhance Customer Experience with Data-Driven Tools: Create and refine analytics tools, dashboards, and KPIs that empower Customer Service teams to improve customer experience and satisfaction effectively.
• Ensure Data Integrity and Quality: Design and implement robust data validation techniques and algorithms to improve and maintain the accuracy, consistency, and reliability of data across systems.
• Drive Cross-Functional Data Projects: Lead and coordinate global data-driven initiatives, ensuring seamless collaboration across teams in APAC and globally within Commercial Operations

What Makes You Stand Out

• Exceptional quantitative abilities with a demonstrated capacity for tackling complex problems through structured, data-driven approaches.
• Extensive experience in leveraging analytical tools and software packages, particularly Python or R, to derive actionable insights and support data-driven decision-making.
• Excellent written and verbal communication skills, with the ability to convey technical findings clearly and persuasively to diverse stakeholders.
• Proven ability to thrive both independently and within collaborative, cross-functional team environments.
• Familiarity with integrated development environments (IDEs) and version control systems like Git is a strong advantage.
• Strong ability to communicate complex ideas clearly and effectively across all levels of the organization, from technical teams to senior management.

Your Background

• Bachelor’s or Master’s degree in a relevant quantitative discipline such as Mathematics, Computer Science, Engineering, or Econometrics.
• Minimum of 3 years of experience in a data analytics role, with a demonstrated track record of leading data analytics projects showcasing significant individual contributions and ownership.
• Proficient in working with SQL-based databases and programming in high-level languages such as R and Python.
• Experience with machine learning algorithms and optimization techniques is highly desirable.
• Data Visualization and BI Tools: Familiarity with Microsoft products and business intelligence tools like Power BI and Tableau is a strong advantage.
• Fluent in English, with strong communication skills suitable for both technical and business contexts.

Travel Expectations

• Willingness to travel up to 10% of the time as needed for business purposes.