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Temporary Data Scientist Machine Learning Jobs in Minnesota

System One

Data Scientist

Minneapolis, MN · On-site

System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between ...

System One

Data Scientist

Minneapolis, MN · On-site

System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between ...

System One

Data Scientist

Minneapolis, MN · On-site

System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models ...

Tactile Medical

Data Scientist

Minneapolis, MN

... appropriate machine learning and statistical methodologies Translating validated models into ... Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

The Marketing Data Scientist will analyze data to build predictive models that inform commercial ... machine learning and statistical methodologies • Translating validated models into forward ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD ... machine learning and statistical methodologies • Translating validated models into forward ...

RELX

Senior Data Scientist III

Minneapolis, MN

$115K - $192K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... If you are a curious and collaborative data scientist who thrives in an innovative environment ...

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... If you are a curious and collaborative data scientist who thrives in an innovative environment ...

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Temporary Data Scientist Machine Learning information

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Minnesota? The most popular types of Data Scientist Machine Learning jobs in Minnesota are:
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What cities in Minnesota are hiring for Temporary Data Scientist Machine Learning jobs? Cities in Minnesota with the most Temporary Data Scientist Machine Learning job openings:
Temporary Data Scientist Machine Learning jobs near you
Infographic showing various Temporary Data Scientist Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 38% Full Time, 54% Part Time, 3% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Senior Data Scientist

ShiftCode Analytics

Saint Paul, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in production-level AI systems, specifically Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). This role will lead the design, development, and deployment of advanced data science and AI solutions that directly impact business performance, clinical workflows, and decision-making.

This is a highly cross-functional role requiring strong technical depth, business acumen, and the ability to operate in regulated environments.

Key Responsibilities

  • Lead the design, development, and deployment of data science and AI/ML solutions, including LLM-powered systems
  • Build and operate production-grade RAG systems, focusing on retrieval quality, orchestration, cost optimization, and observability
  • Develop and implement predictive models and advanced analytics to drive business outcomes (customer experience, revenue, operational efficiency)
  • Mine and analyze large datasets to support product development, clinical insights, and business strategy
  • Develop custom data models, algorithms, and machine learning solutions
  • Evaluate and improve data sources, pipelines, and data quality
  • Collaborate with cross-functional teams (Clinical SMEs, Quality, IT/Security, Product, and Executive stakeholders) to translate business needs into technical solutions
  • Monitor and optimize model performance, ensuring scalability, accuracy, and compliance
  • Support and enhance data infrastructure, including cloud-based environments (AWS/Azure)
  • Ensure data security and compliance, particularly in regulated or post-market environments
  • Contribute to intellectual property and innovation initiatives
  • Mentor junior team members and lead cross-functional projects

Specialized Requirements

  • Hands-on experience building and operating production RAG and LLM systems (not just experimentation or notebook work)
  • Strong understanding of retrieval quality and evaluation, system orchestration and architecture, cost optimization strategies, observability and monitoring of AI systems
  • Experience with evaluation frameworks in complex, high-cardinality classification problems, especially where labels overlap and outputs feed into regulated or clinical workflows
  • Emphasis on SME alignment and error analysis, not just model accuracy
  • Ability to work closely with clinical, quality, and technical stakeholders, translating feedback into system design improvements
  • Strong judgment in communicating trade-offs and risks, particularly in regulated environments

Qualifications

  • Bachelor's degree with 9+ years of experience, or Master's degree with 6+ years of experience
  • Strong expertise in Python, SQL, and machine learning frameworks
  • Experience with vector databases and modern AI architectures
  • Hands-on experience with cloud platforms (AWS and/or Azure)
  • Proven ability to build and deploy scalable data and AI solutions in production environments

Core Competencies

Technical Expertise

  • Deep knowledge of data science, machine learning, and AI/LLM systems
  • Ability to design scalable, production-grade architectures

Business Acumen

  • Understands how data and AI drive business outcomes
  • Aligns technical solutions with organizational goals

Leadership

  • Mentors team members and leads cross-functional initiatives
  • Acts as a subject matter expert

Problem Solving

  • Solves complex, ambiguous problems with innovative approaches
  • Applies critical thinking across multiple data sources and constraints

Communication

  • Clearly explains complex technical concepts to non-technical stakeholders
  • Builds alignment across teams and functions

Quality & Compliance

  • Ensures adherence to all quality systems and regulatory requirements
  • Integrates quality and compliance into all aspects of work
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About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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