Data Scientist (4 months project)

Our Client:

A global logistics and transportation provider that offers a comprehensive range of services, including freight forwarding, supply chain management, and warehousing solutions. The company operates across air, sea, and road transportation, catering to diverse industries worldwide. It is known for its ability to deliver tailored logistics solutions, leveraging advanced technology and a robust global network to ensure efficient and reliable operations. This organization prioritizes innovation, sustainability, and customer-centricity, striving to optimize supply chains and support businesses in achieving their goals.

Main tasks:

• Perform in-depth data profiling and analysis to uncover patterns, anomalies, and inconsistencies in data.
• Collaborate with data engineers and business analysts to define data requirements and ensure data quality.
• Develop and execute data validation and verification processes to document and improve data integrity and quality.
• Create detailed reports and visualizations to communicate data profiling results and insights.
• Provide recommendations for improving data quality, consistency, and usability.

• Initiative: Self-motivation to identify opportunities for data improvement without direct supervision.
• Curiosity about data and digging into it to see patterns and business insights,
• Programming in Python and SQL.
• Business acumen.
• Cloud: Azure & Databricks
• Software Engineering and Computer Science understanding.
• Analytical Mindset: Ability to dissect complex datasets and extract actionable insights.
• Attention to Detail: Precision in identifying data inconsistencies and ensuring data quality.
• Problem-Solving: Proactively address data quality issues and recommend improvements.
• Effective Communication: Capability to explain technical data concepts to non-technical audiences.
• Team Collaboration: Strong interpersonal skills to work with diverse teams and stakeholders.
• Adaptability: Willingness to learn and adapt to new tools, technologies, and processes.