Senior Data Scientist

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Resilinc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

🏢 Enterprise

☁️ SaaS

Enterprise • AI • SaaS

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.

📋 Description

• Partner directly with enterprise customers to understand business challenges, identify AI opportunities, and define solution requirements. • Lead customer engagements from discovery and solution design through deployment, adoption, and measurable business impact. • Serve as a trusted technical advisor, helping customers successfully implement and scale AI-driven solutions. • Present technical concepts, solution recommendations, and business outcomes to audiences ranging from practitioners to executive leadership. • Design, build, and deploy scalable machine learning, Generative AI, and agentic AI solutions for real-world supply chain challenges. • Develop production-ready ML pipelines, AI applications, prototypes, and proof-of-concepts. • Evaluate emerging AI technologies and adapt state-of-the-art techniques to customer and product needs. • Ensure solutions balance technical excellence, scalability, and business value. • Collaborate closely with Product, Engineering, Solutions Consulting, Sales, and Customer Success teams to deliver customer outcomes. • Influence product strategy by bringing customer insights, implementation learnings, and industry trends back into the organization. • Mentor team members and contribute to best practices in AI solution development and deployment.

🎯 Requirements

• BE/MS/PhD in Computer Science, Data Science, Statistics, Operations Research, Industrial Engineering, Supply Chain, or a related field. • 5+ years of experience building and deploying AI/ML solutions in production environments. • Experience working directly with customers, stakeholders, or business teams to define and deliver technical solutions. • Strong foundation in machine learning, statistical modeling, experimentation, and data science methodologies. • Hands-on experience with LLMs, Generative AI, agentic systems, RAG architectures, and model evaluation techniques. • Proficiency in Python, SQL, object-oriented programming, and modern software development practices. • Excellent communication, presentation, and storytelling skills, with the ability to explain complex concepts to both technical and non-technical audiences. • Ability to navigate ambiguity, drive outcomes independently, and balance technical depth with business impact.

🏖️ Benefits

• Full-stack benefits for health, wealth and wellbeing to keep you thriving.