Senior Data Scientist

DHL Group, the logistics provider of the world with around 600,000 employees in more than 220 countries and territories. In a global business like ours, the opportunities are endless. So, join us, work with us, grow with us and stay with us. Discover the positive impact you can make and build an amazing career with us. We are an organization that is not just moving goods around, we have a very clear purpose, and we are: Connecting People. Improving Lives.

Role Summary:

We are seeking a highly skilled Senior Data Science professional with strong technical expertise in Python, SQL, Machine Learning, and Data Mining. The role involves developing and deploying complex predictive models, managing multiple data science projects.

Job Responsibilities:

• Collaborate with stakeholders to define business opportunities and how to address them with data science strategies, objectives, and priorities.
• Develop and deploy complex predictive models and machine learning frameworks like Scikit-Learn, TensorFlow, and PyTorch. Ensure the quality and accuracy of analytics solutions.
• Accountable on data science input into the design, development, implementation, monitoring and SLA of major solutions.
• Ownership of Analytics Quality assurance and testing for solution within the scope of the domain.
• Apply statistical analysis to extract insights from large datasets. Proficiently use programming languages such as Python and SQL for data manipulation and analysis.
• Effectively communicate data science initiatives and results to senior management and other stakeholders, ensuring alignment with business goals.
• Update the team with the latest advancements in data science technologies and tools, and assess their potential impact on the team's work.

Job Requirements:

• Advanced degree or equivalent experience in quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science or Analytics.
• Synthesize complex or diverse information; Able to source and prepare data; Design data flows; challenge and re-validate conclusions.
• 7+ years of experience in business intelligence/data mining; out of which at least 4+ years of experience in statistical/ML data modeling.
• Diverse knowledge 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 data visualization skills using tools like MS Power BI or JavaScript based visualization.
• Experience with Agile and DataOps methodologies.
• Excellent stakeholder management skills, including the ability to communicate technical concepts to non-technical stakeholders.