Senior Data Scientist

Join the Future of Supply Chain Intelligence — Powered by Agentic AI

At Resilinc, were pioneering intelligent, autonomous systems that redefine supply chain risk management. Our agentic AI helps global enterprises predict disruptions, assess impact, and act in real time — before operations are affected. Named a 2025 Gartnerregistered Magic Quadranttrade mark Leader, were trusted by top companies in life sciences & pharma, aerospace & defense, high tech, and automotive to protect what matters most. Be part of a team thats redefining resilience on a global scale.

But the real power behind Resilinc Our people. Were a fully remote, mission-led team making sure life-saving products and critical goods get where theyre needed, fast. We offer the chance to do meaningful work in a collaborative, empowering culture—where you can be an agent of change. Join us to tackle critical global challenges through high-impact work that matters.

Check out this blog to learn more about how we are impacting the worlds most critical supply chains. Global Supply Chain Risks 2026: Act Faster | TEC

Resilinc | Innovation with Purpose. Intelligence with Impact.

At Resilinc, our mission is to make supply chains more resilient through visibility, AI-powered monitoring, and predictive analytics. Our platform is trusted by leading global enterprises to anticipate, assess, and respond to supply chain disruptions.

We are looking for a Senior Data Scientist who combines deep AI/ML expertise with strong customer engagement skills. This role operates at the intersection of Data Science, Engineering, Product, and Customer Success, partnering directly with enterprise customers to solve complex supply chain challenges through production-ready AI solutions.

What Youll Do

Customer Engagement & Solution Ownership

• 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

Core Qualifications

• 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

• Experience in a Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Consultant, or customer-facing AI role
• Supply chain domain expertise
• Experience building and deploying AI solutions on cloud platforms such as AWS or Azure
• Familiarity with Databricks, Apache Spark, and distributed data processing frameworks
• Experience with vector databases, open-source LLMs, model fine-tuning, and secure AI deployments
• Experience with graph analytics, graph databases (Neo4j, NetworkX, GraphX), and Graph Neural Networks
• Experience applying NLP techniques to large-scale text processing and data normalization challenges
• Proficiency with Python-based application frameworks such as Flask, Django, or Streamlit
• Demonstrated ability to mentor team members and deliver compelling customer-facing demonstrations

At Resilinc, were fully remote, with plenty of opportunities to connect in person. We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core. Oh, and the perks Full-stack benefits for health, wealth and wellbeing to keep you thriving. Check in with your talent acquisition contact for a location-specific FAQ.

Curious to know more about us Dive in at www.resilinc.ai

More great news! Resilinc is backed by Vista Equity Partners

Resilinc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application process please contact [HIDDEN TEXT].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.