Data Scientist with AI Expertise
2 months ago
Summary:
The Supply Chain Data Scientist with AI Expertise is a critical role focused on leveraging advanced analytics, machine learning, and artificial intelligence (AI) to optimize supply chain operations and drive data-driven decision-making. This individual will be responsible for developing and deploying AI models, analyzing large-scale supply chain datasets, and generating actionable insights to improve efficiency, reduce costs, and enhance customer satisfaction.
Job location: Ambattur Chennai
Shift: Night Shift
Key Responsibilities:
Data Analysis and Modeling:
- Analyze large-scale supply chain datasets, identifying patterns, trends, and anomalies.
- Develop and deploy AI models, such as demand forecasting, inventory optimization, and route optimization models, to improve supply chain efficiency and decision-making.
- Validate and refine AI models to ensure accuracy, reliability, and robustness.
- Collaborate with data engineers to design and implement data pipelines for seamless data ingestion and transformation.
Insight Generation and Communication:
- Translate complex data analysis and AI model outputs into actionable insights for supply chain stakeholders.
- Communicate findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Develop visualizations and dashboards to effectively communicate supply chain performance and insights.
- Participate in cross-functional teams to drive data-driven decision-making in supply chain operations.
Research and Development:
- Stay abreast of the latest advancements in AI, machine learning, and data analytics relevant to supply chain optimization.
- Research and experiment with new techniques and methodologies to enhance the COE's capabilities.
- Collaborate with academia and industry partners to stay at the forefront of supply chain AI innovation
Qualifications:
Education: Master's degree or Ph.D. in a quantitative field (e.g., Data Science, Operations Research, Industrial Engineering, Supply Chain Management, Computer Science) with a focus on AI/ML. Experience:
- 5+ years of hands-on experience in applying AI and machine learning to real-world problems, preferably in the supply chain domain
- Proven track record of developing and deploying AI models that have delivered measurable business value.
- Strong proficiency in Python, R, or other relevant programming languages for data analysis and machine learning.
- Experience with cloud-based platforms (e.g., AWS, Azure, GCP) and big data technologies. Familiarity with supply chain processes, challenges, and key performance indicators.
Skills and Competencies:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Collaborative mindset and ability to work effectively in cross-functional teams.
- Self-motivated and results-oriented, with a passion for using data and AI to drive supply chain optimization.
- Strong knowledge of machine learning algorithms and techniques (e.g., regression, classification, clustering, deep learning).
- Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Preferred Qualifications:
- Experience with supply chain optimization software and tools.
- Contributions to open-source AI projects or publications in relevant conferences/journals.
- Strong understanding of reinforcement learning and its applications in supply chain optimization. This job specification outlines the essential qualifications and responsibilities for a Supply Chain Data Scientist with AI Expertise.
- This role requires a combination of technical expertise, analytical skills, and a passion for leveraging AI to drive innovation and efficiency in the supply chain
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