Data Scientist

March 11

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Resilinc

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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

201 - 500 employees

Founded 2010

🏢 Enterprise

☁️ SaaS

📋 Description

•We began a movement when we started Resilinc in 2010 with our belief in the power of supply chain to be a force for good, to improve the lives of people and our communities. •Our vision is for the world to have a place where suppliers and customers can collaborate securely with transparency and trust as the foundation. •Today Resilinc’s flagship supply chain visibility, mapping and AI powered monitoring and predictive analytics platform is widely considered the Gold Standard for resilience. •We wake up every day with the power of our important Mission driving our every action. •Join our passionate, highly motivated and VIRTUAL global team that is energized and working hard to positively impact the world. •The Data Scientist at Resilinc is a pivotal role that will contribute to the development of our AI – powered SaaS products. •The ideal candidate is not only adept at developing scalable, innovative algorithms using machine learning techniques but also brings a strong analytical mindset to tackle complex challenges. •This role demands a blend of technical expertise and innovative thinking to leverage data effectively for strategic decision-making.

🎯 Requirements

•Bachelor’s degree or higher in Operations Research, Supply Chain, Industrial Engineering, Computer Science, Statistics, Data Science or a related discipline. •1+ years of paid industry experience contributing to the development of SaaS products. •Proficiency in Python, SQL, and a solid grasp of object-oriented programming, data structures, and development methodologies. •Demonstrated experience in the development of complex algorithms. •A comprehensive understanding of various Machine Learning techniques including but not limited to Linear & Non-linear models, Tree-based algorithms, Neural Networks, Classification, Clustering, Regression, Feature Engineering, Feature Selection, PCA, SVD, k-NN etc.

🏖️ Benefits

•We offer comprehensive benefits that are specific to each country. •Your talent acquisition contact can provide you with a FAQ list for your country. •Everyone at Resilinc is eligible for healthcare coverage, participation in the employee stock option program, retirement benefits, paid time off and learning and development opportunities.