Senior Data Scientist - ConcreteDirect

JOB OVERVIEW

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.