About The Role
You’ll work at the critical intersection of data science, data engineering, AI engineering and operations, partnering closely with our DaaS Delivery Operations team and cross-functional stakeholders. You’ll develop technical specifications, design evaluation workflows, implement quality standards, measurement frameworks, and ML-assisted applications which improve our data pipelines and unblock projects through technical innovation.
This role is ideal for someone who is comfortable working throughout the entire presales to delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator and works well as a key member of a team.
Skills And Experience Required
3+ years in data science or data engineering roles
Proficient in Python, SQL, and common data tools (pandas, Plotly, Streamlit, Dash)
Familiarity with large language models (LLMs) and deploying ML in production
Experience working with APIs and interpreting technical documentation
Strong problem-solving, collaboration, and communication skills
What You Will Do
Client Discovery \& Presales
Support sales in scoping projects and assessing technical feasibility
Prepare technical demos, specifications, and sample datasets
Define success metrics and baseline evaluation frameworks
Project Delivery
Build and maintain data pipelines and quality measurement systems
Generate and augment synthetic datasets to accelerate client workflows
Package production-ready datasets with clear documentation and QA standards
Technical Partnership \& Innovation
Define production workflows and support smooth client implementations
Troubleshoot technical issues and unblock delivery teams
Continuously improve processes, tools, and evaluation methods
Identify opportunities to extend or expand client engagements