Senior Data Scientist

GXO Logistics, Inc.

Senior Data Scientist developing machine-learning and optimization solutions for GXO Logistics. Translating complex supply-chain data into scalable products and actionable operational insights.

Posted 8/8/2026full-time🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing machine learning models, translating business requirements into scalable data science solutions, and collaborating with cross-functional teams to drive data-driven decision-making. Proficient in Python and SQL, with a strong focus on model performance and continuous improvement.

Highest-signal resume keywords

Machine Learning DevelopmentPython ProgrammingSQL ProficiencyData Science SolutionsCloud-Based Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingOptimization ModelsData AnalysisData Pipeline DevelopmentModel EvaluationPerformance MeasurementData VisualizationOperations ResearchData Validation

Soft Skills

Problem-SolvingCommunicationMentoringCollaborationStakeholder Engagement

Tools & Technologies

Google Cloud PlatformBigQueryVertex AICloud RunData Science Tools

Industry Keywords

LogisticsWarehousingSupply ChainRetail OperationsQuantitative Analysis

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design, develop, and validate advanced machine learning, statistical, and optimization models
Solve complex business and operational challenges through data-driven solutions
Partner with product managers, engineers, and business stakeholders to define use cases and success metrics
Identify and leverage relevant data sources to support analytical initiatives
Translate business requirements into scalable data science solutions
Support the productionization, monitoring, and continuous improvement of ML models
Collaborate with AI/ML engineering teams on data pipelines and deployment processes
Communicate insights, model performance, and recommendations to technical and non-technical audiences
Drive experimentation, model evaluation, and performance measurement frameworks
Ensure high standards of scientific rigor, documentation, and best practices
Mentor junior data scientists and provide technical guidance across projects
Influence product and technology decisions through evidence-based recommendations

Requirements

What you’ll need

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field
Master's degree or PhD is an advantage
5+ years of experience in data science, machine learning, or advanced analytics
Strong expertise in Python and SQL for developing scalable analytical solutions
Hands-on experience with machine learning, statistical modeling, and/or operations research
Proven track record of delivering data science solutions from concept to production
Experience working with large, complex, and imperfect datasets
Strong problem-solving skills and ability to translate ambiguous business challenges into measurable outcomes
Experience with cloud-based data and ML platforms, preferably Google Cloud Platform (GCP)
Familiarity with BigQuery, Vertex AI, Cloud Run, or similar technologies
Strong communication skills with the ability to engage diverse stakeholder groups
Experience in logistics, warehousing, supply chain, retail operations, or similar complex environments is a plus
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Benefits

Comp & perks

Competitive salary (in line with AVR agreements)
Working in an international and rapidly growing organization
Opportunities for personal development and career growth
A pleasant, open, and informal working atmosphere
Plenty of room for initiative and ownership
Employee development
Inclusive and diverse work environment