Data Scientist

Mindlance; Saint Paul (MN); On-site; USD 120,000 - 190,000; Full time

Job summary

Mindlance is seeking senior technical leaders who can clearly explain a past technical project to a non-technical audience and who actively use AI-assisted development tools as part of daily workflows. The role emphasizes independent ownership of complex solutions and collaboration with data science and software engineering teams to deliver production-ready results.

Ideal candidates have 10+ years of industry experience with measurable business impact across energy, utilities, logistics, or

Skills

Strong Communication

AI-Enabled Development Workflow

Independent Technical Leadership

Cross-Functional Development

Business Impact and IndustryExperience

Job description

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

• Strong Communication: Able to clearly explain a past technical project in 1-2 minutes to a non-technical audience, including the business problem, approach, and measurable impact.
• AI-Enabled Development Workflow: Actively uses AI-assisted development tools (e.g., Claude, GitHub Copilot) as part of daily technical workflows for coding, debugging, documentation, or prototyping.
• Independent Technical Leadership: Demonstrated experience independently owning and delivering complex technical solutions in fast-paced environments, including problem framing, technical decision-making, and execution using physics-based modeling, machine learning, optimization, and/or AI techniques.
• Cross-Functional Development Experience: Experience working on cross-functional teams involving both Data Science and Software Engineering, including collaboration on production systems, deployed models, or shared technical deliverables.
• Business Impact and Industry Experience: 10+ years of experience in industry (preferably including energy, utilities, industrials, logistics, or other operational domains) with demonstrated examples of measurable business impact from technical work.