Resilinc
Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.
Supply Chain Resiliency • Supply Chain Mapping and Visibility • Supply Chain Risk • Business Continuity Planning • Conflict Minerals
Senior Data Scientist
February 25
Resilinc
Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.
Supply Chain Resiliency • Supply Chain Mapping and Visibility • Supply Chain Risk • Business Continuity Planning • Conflict Minerals
📋 Description
• The Senior/Staff Data Scientist at Resilinc plays a crucial role in shaping our SaaS products by developing scalable and innovative machine learning algorithms. • This position requires a strong analytical mindset to solve complex challenges and leverage data for strategic decision-making. • The ideal candidate will combine technical expertise with creative problem-solving to drive impactful solutions.
🎯 Requirements
• A BE, MS, or PhD in Operations Research, Supply Chain, Industrial Engineering, Computer Science, Statistics, Data Science, or a related discipline. • 5-10 years of relevant industry experience. • Deep expertise in advanced data science methodologies and tools, staying abreast of industry trends. • Experience driving the adoption of new technologies and methodologies across teams. • Proficiency in architecting solutions using LLMs, Generative AI, and Agentic AI, including evaluating frameworks, optimizing model performance, and addressing both ethical and practical considerations. • Proficiency in Python, SQL, and a solid grasp of object-oriented programming, data structures, and development methodologies. • Experience with instrumentation for continuous model performance measurement and auto-retraining processes. • Demonstrated ability to develop complex algorithms and integrate them into scalable software solutions. • A comprehensive understanding of various Machine Learning techniques, including but not limited to Linear & Non-linear models, Tree-based algorithms, Neural Networks, Classification, Clustering,
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