Lead Data Scientist​/AI Technical Lead – Water Intelligence

Lead Data Scientist / AI Technical Lead – Water Intelligence

Location: St. Paul, MN;
Naperville, IL (Hybrid). Candidates may sit in either location.

$ / yr – $ / yr

We are a technology‑driven organization operating at global scale, delivering digital products and advanced analytics that support complex industrial and commercial environments. Our teams focus on transforming domain expertise into scalable, AI‑enabled solutions that drive measurable customer outcomes.

We are looking for a Lead Data Scientist / AI Technical Lead to support our Water Intelligence portfolio. This role balances hands‑on technical development with team leadership and stakeholder partnership. The position plays a critical role in expanding delivery capacity across multiple teams within a growing portfolio.

• Serve as a technical lead supporting AI and data science delivery for water‑related intelligence solutions
• Spend approximately 50% of time hands‑on with development and 50% leading, mentoring, and partnering
• Work closely with product stakeholders to translate business needs into analytical and AI solutions
• Support and mentor junior team members while collaborating with a senior manager overseeing the broader portfolio
• Operate effectively in an environment with distributed teams and mixed onshore/offshore delivery
• Contribute to technical standards and best practices aligned with broader AI platform leadership

• Education: Bachelor’s degree in Computer Science, Software Engineering, or another related technical discipline (or equivalent 4 years of experience in a related industry).
• Experience: 6+ years of experience in data science, analytics, or applied AI roles, with prior experience acting as a technical lead or senior individual contributor.
• Skills: Strong Python development skills; experience working in Azure‑based analytics environments (Databricks); ability to build, evaluate, and operationalize analytical or AI solutions; comfort balancing hands‑on development with leadership responsibilities.
• Other: Strong communication skills and ability to partner with product and business stakeholders in a matrixed organization.

• Experience in industrial, utilities, water, or research‑adjacent domains
• Comfort transitioning solutions from research‑oriented work into productized delivery environments

Competitive compensation, comprehensive benefits, hybrid work flexibility, professional development opportunities, and the chance to contribute to advanced analytics and AI solutions supporting critical industrial systems.

• Seniority Level: Mid‑Senior level
• Employment Type:
  
  Full‑time
• Job Function:
  Engineering and Information Technology
• Industry: IT Services and IT Consulting