Senior Data Scientist - ConcreteDirect

Amrize; Zug; Vor Ort; CHF 120’000 - 160’000; Vollzeit

Zusammenfassung

A leading company in the wholesale building materials industry seeks a Senior Data Scientist to drive AI and machine learning initiatives. You will develop and optimize models on AWS, enhance cloud pipelines, and deliver insights for strategic decisions in supply chain management. This full-time position offers the opportunity to work with cross-functional teams and implement cutting-edge solutions.

Qualifikationen

• 5+ years of hands-on experience in data science and AI/ML.
• Strong proficiency in Python and SQL.
• Advanced experience with machine learning libraries and AWS technologies.

Aufgaben

• Develop and deploy AI/ML models for supply chain optimization.
• Enhance existing cloud-based data solutions.
• Automate KPI reporting and support data-driven decisions.

Kenntnisse

Python

SQL

Machine Learning

Statistical Analysis

Optimization Methods

Problem-Solving

Communication

CI/CD Practices

Supply Chain Management

Ausbildung

Master’s degree in Computer Science, Statistics, or related field

Ph.D. preferred

Tools

AWS

Machine Learning Libraries

Jobbeschreibung

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The Senior Data Scientist - ConcreteDirect is responsible for building, deploying, and scaling advanced machine learning (ML) and optimization models on AWS to solve high-impact business problems in supply chain management. This role requires someone with a deep understanding of cloud-based technologies, capable of enhancing existing code and improving model performance. You’ll work closely with cross-functional teams to identify opportunities, enhance existing cloud-based pipelines, and ensure smooth operation of production models. Additionally, you will contribute to automating KPI reports and support data-driven decision-making across the business.

RESPONSIBILITIES

• Advanced Data Science Models: Apply statistical and machine learning models to supply chain management, with a focus on improving cost-efficiency and customer satisfaction.
• AI & ML Systems: Develop and deploy AI/ML systems for process optimization, such as scheduling problems, and simulate various delivery scenarios.
• Cloud-Based Enhancements: Enhance existing cloud-based data science solutions, implement new ML algorithms, and perform rigorous benchmarking to improve performance.
• AWS Cloud Integration: Work with AWS cloud tools (Lambda, API Gateway, SageMaker, etc.) to develop and deploy scalable AI/ML pipelines.
• Data Visualization: Create interactive dashboards and visualize data to derive actionable business insights and improve workflows.
• KPI Automation: Design, prepare, and automate KPI reports to support strategic decision-making.
• Monitoring & Validation: Write test and validation scripts to monitor cloud performance, data latency, and ensure data output quality.
• Collaboration: Collaborate with product managers, engineering teams, and business stakeholders to align solutions with operational and business goals.
• Documentation: Ensure comprehensive documentation of data processes, modeling strategies, and system designs to facilitate knowledge transfer and system maintainability.
• Continuous Learning: Stay up-to-date with the latest advancements in data science, AI, and cloud technologies to continuously improve the organization's analytical capabilities.

PROFILE

Education:

• Master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field (Ph.D. preferred).

Work Experience:

• 5+ years of hands-on experience in data science, AI/ML.

Knowledge, Skills and Abilities:

• Strong proficiency in Python and SQL.
• Advanced experience with machine learning libraries.
• Deep knowledge of statistical analysis, machine learning techniques, and optimization methods.
• Experience with AWS technologies (Lambda, API Gateway, SageMaker, Glue, Athena, etc.).
• Experience working on optimization and scheduling (Python libraries preferred).
• Excellent problem-solving, communication, and presentation skills.
• Knowledge of CI/CD practices for data workflows.
• Experience in supply chain management.
• Familiarity with Infrastructure as Code.

Travel Requirements:

• Occasional travel may be required for business needs.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Strategy/Planning and Management

• Industries

  Wholesale Building Materials

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