(USA) Staff, Data Scientist

Position Summary

What you'll do...

What you'll do:

• Partner with business, product and engineering teams to deeply understand the problem.
• Rapid prototype, design, implement, test, evaluate, deploy and improve software solutions that solves challenging business and technical problems.
• Use agentic coding tools, frameworks and techniques such as MCP, A2A, ADK, and frameworks to accelerate development.
• Improve outcomes through feedback-driven workflows using real-world signals
• Contribute to multi-agent workflows with coordination, delegation, and dynamic task execution.
• Ensure operational excellence and build observability, debugging, and traceability in AI-driven systems.
• Contribute to shaping practices for AI-native application development.
• Contribute to knowledge sharing and training of the rest of the organization on AI-native application development.

About the team

About the team: Our team operates at the intersection of software engineering, data, and AI systems, focusing on rapid experimentation and platform development for intelligent automation at scale. We build adaptive, production-ready software that evolves through usage, emphasizing iteration speed and measurable results. Addressing complex technical challenges, the team designs scalable, reliable, and secure systems. Collaboration and continuous improvement drive innovation to deliver customer-facing AI solutions and agent orchestration. This environment supports professional growth through shared expertise and a strong commitment to engineering excellence within the growth technology domain.

Minimum Qualifications

• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
• Option 3: 6 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics,
• Successful completion of one or more assessments in Python, Spark, Scala, or R,
• Using open source frameworks (for example, scikit learn, tensorflow, torch),
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.