Senior Applied Data Scientist

Crescent Solutions; Saint Paul (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Crescent Solutions in Saint Paul, MN seeks a Senior Applied Data Scientist specializing in AI & Advanced Analytics to own complex data projects from problem definition through delivery, partnering with software engineers and business stakeholders to translate analytics into measurable outcomes.

Candidates should demonstrate strong communication, experience with AI-assisted development workflows, and leadership in cross-functional teams; industry experience in energy, utilities, logistics, or

Job description

Senior Applied Data Scientist - AI & Advanced Analytics

We will specifically be seeking Applied Data Scientists who demonstrate the following characteristics and experience:

Strong Communication Skills

• Ability to clearly explain a past technical project in 1-2 minutes to a non-technical audience.
• Can effectively communicate:
• The business problem or objective
• The technical approach and methodology
• The candidate's specific contribution
• The measurable business or operational impact
• Candidates should be able to translate complex technical concepts into clear, concise business language.

AI-Enabled Development Workflow

• Actively uses AI-assisted development tools as part of their day-to-day technical workflow.
• Other AI-powered coding and development tools
• Demonstrated use of AI tools for activities such as:
• Coding
• Documentation
• Prototyping
• Technical problem-solving
• Candidates should be able to explain how AI-assisted tools have improved or accelerated their development workflow.

Independent Technical Leadership

• Demonstrated ability to independently own and deliver complex technical solutions in fast-paced environments.
• Experience taking ownership of projects from problem definition through technical execution and delivery.
• Strong technical decision-making skills, including the ability to evaluate approaches, make tradeoffs, and select appropriate methodologies.
• Hands-on experience applying one or more of the following:
• Physics-based modeling
• Machine learning
• Optimization

Cross-Functional Development Experience

• Proven experience working on cross-functional teams that include both Data Science and Software Engineering.
• Experience collaborating with software engineers and other technical stakeholders to move data science solutions from development into production.

Familiarity with:

• Production systems
• Deployed machine learning models
• Shared technical deliverables
• Productionization and operationalization of data science solutions
• Ability to effectively bridge the gap between data science, software engineering, and business stakeholders.

Business Impact & Industry Experience

• 10-15+ years of industry experience in applied data science, advanced analytics, engineering, or related technical disciplines.
• Preference for candidates with experience in operational industries such as:
• Energy
• Utilities
• Logistics
• Manufacturing
• Other asset-intensive or operational environments
• Demonstrated history of applying technical solutions to real-world business and operational problems.

Strong examples of measurable impact, such as:

• Cost reduction
• Increased operational efficiency
• Improved reliability or performance
• Automation
• Candidates should be able to clearly connect their technical work to measurable business outcomes.