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.
What You Will Do
Conduct literature reviews, select and adapt suitable methods/algorithms for specific problems, and innovate as necessary - encompassing research, design, development, and algorithm testing.
A hands-on contributor for developing AI-powered SaaS products.
Contribute to projects and help drive them through to completion thoroughly and efficiently, in a timely manner.
Collaborate proactively with stakeholders across the company.
Articulate and present analytical findings and progress to cross-functional teams within Resilinc.
What You Will Bring
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.
What Will Make You Stand Out
Background in the Supply Chain industry.
Familiarity with distributed data processing frameworks, especially Apache Spark.
Experience in developing Generative AI models in secure, isolated environments.
Knowledge of graph theory, graph algorithms, Graph Neural Networks (GNNs), and experience with graph databases such as Neo4j.
Experience applying NLP techniques to challenges such as data normalization and other complex text-related problems.
Proven experience with Python-based web application frameworks such as Flask, Django, Streamlit, or similar technologies.
Hands-on experience with Linux-based environments, including shell scripting, process management, and optimizing system performance for large-scale data science workloads.
Demonstrable experience managing the full lifecycle of machine learning models, including deployment and monitoring on cloud platforms like AWS, Azure.
If you are a person with a disability needing assistance with the application process please contact HR@resilinc.com. BenefitsWe 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. Resilinc is well-funded (read more about our recent investment from Vista Equity Partners), profitable, and shows no signs of slowing down. We run lean, work fast, and pivot quickly to accommodate our customers in order to keep supply chains moving. For more information visit our website: Resilinc End-to-End Supply Chain Risk Management Solutions - Resilinc
