Data Scientist - Level 3 #26-23447

US Tech Solutions; Saint Paul (MN); On-site; USD 166,000 - 177,000; Full time

Job summary

US Tech Solutions is seeking a Data Scientist 2 in Saint Paul, MN to lead moderately complex analytics and machine learning efforts, delivering production-ready solutions and actionable insights. This contract role lasts 12+ months with an 8:00 AM–5:00 PM CST schedule.

The ideal candidate has 6–10 years in data science, strong Python or R skills, SQL, and experience deploying models into production, with the ability to mentor juniors and communicate across technical teams.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field required.
• 6–10 years of professional data science experience.
• Strong proficiency in Python or R, including building production-ready analytics workflows.
• Familiarity with version control (Git).
• Strong SQL skills and experience with large-scale datasets.
• Experience deploying models into production environments.

Responsibilities

• Design, develop, and deploy predictive and prescriptive models.
• Lead end-to-end analytics projects from problem framing to production.
• Engineer features and optimize model performance.
• Communicate insights and recommendations to technical and non-technical stakeholders.
• Implement model validation, testing, and monitoring frameworks.
• Mentor junior data scientists.
• Collaborate with engineering teams to productionize solutions.
• Provide technical leadership on modeling approaches and best practices within initiatives.

Skills

Independent problem-solving

Stakeholder management

Technical leadership on projects

Business acumen

Education

Bachelor’s or Master’s degree in a quantitative field

PhD in a quantitative field

Tools

Git

Python

R

SQL

Job description

$80-$85 per hour

Saint Paul, MN

Contract

Duration: 12+ Months

Job Description:

The Data Scientist 2 leads moderately complex analytics and machine learning efforts, delivering production-ready solutions and actionable insights. This role is expected to quickly ramp in new environments and independently drive project outcomes.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models

• Lead end-to-end analytics projects from problem framing to production

• Engineer features and optimize model performance

• Communicate insights and recommendations to technical and non-technical stakeholders

• Implement model validation, testing, and monitoring frameworks

• Mentor junior data scientists

• Collaborate with engineering teams to productionize solutions

• Provide technical leadership on modeling approaches and best practices within assigned initiatives

Experience:

• Bachelor’s or Master’s degree in a quantitative field

• 6–10 years of professional data science experience

• Strong proficiency in Python or R, including building production-ready analytics workflows

• Familiarity with version control (Git)

• Strong SQL skills and experience working with large-scale datasets

• Experience deploying models into production environments

• Solid understanding of statistical inference, ML algorithms, and experimentation design

Skills:

• Independent problem-solving

• Stakeholder management

• Technical leadership on projects

• Business acumen

Education:

• Bachelor’s or Master’s degree in a quantitative field

Additional Qualifications:

• PhD in a quantitative field

• Familiaritywith MLOps tools and CI/CD pipelines

• Knowledge of cloud-native data architectures

• Experience working in regulated or data-sensitive industries

• Demonstrated ability to leverage AI coding assistants (e.g., Claude Code, Codex) to improve productivity and enhance code review and documentation processes

Note:

• Shift Hours: 8:00AM - 5:00 PM CST

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement:

By applying, you acknowledge that AI-assisted tools may be used during hiring.