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Temporary Data Scientist Machine Learning Jobs in Minnesota

Varsity Tutors

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ... Build and deploy machine learning models using R, Python, SAS, and SQL. * Develop cloud-based ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

The Senior AI & Data Science job plans and leads the development of artificial intelligence models ... Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including ...

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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 Machine Learning, and why are they important?

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.
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Temporary Data Scientist Machine Learning jobs near you
Senior Machine Learning & Data Science Lead

Senior Machine Learning & Data Science Lead

Insomnia Cookies

Center City, MN

Full-time

Posted 27 days ago

Insomnia Cookies rating

4.9

Company rating: 4.9 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

27th of 43 rated bakeries

Job description

About the Role
Insomnia Cookies is on a mission to sweeten the digital experience through intelligent personalization, predictive insights, and real-time decisioning.
 
We’re looking for a Senior Machine Learning & Data Science Lead who enjoys working hands-on with models, data, and production systems—while collaborating closely with product, engineering, and marketing teams. This role blends applied data science with practical ML engineering to help design, build, and improve AI-powered capabilities across our digital channels and operations.
 
Sweet Position Perks:
• Excellent comprehensive benefits coverage that includes medical, dental, vision & pet insurance plans
• 401K with contribution match
• 3 weeks paid vacation plus 2 paid Insomnia personal wellness days
• Relaxed, fun, come as you are office culture
• Free cookies, branded swag and so much more!
 
What You’ll Do
• Collaborate with teams to design and implement ML models for personalization, recommendations, targeting, and operational improvements.
• Develop predictive and forecasting solutions that use first-party data to support marketing, store operations, and inventory planning.
• Integrate models into production environments, partnering with engineers to ensure scalability, reliability, and maintainability.
• Contribute to experimentation efforts, helping design and analyze A/B tests to measure impact.
• Support ongoing model monitoring and refinement, ensuring quality, fairness, and explainability remain central.
• Work across the business to explore new opportunities where data science and ML can improve customer experience or operational efficiency.
 
What You Bring
• 5+ years in applied ML, data science, or quantitative product roles.
• Experience with recommendation systems, predictive modeling, clustering, and time series forecasting.
• Practical experience deploying models to production (Python, AWS/GCP, APIs).
• Proficiency in SQL and working with large datasets.
• Familiarity with A/B testing and statistical analysis for experimentation.
• Ability to communicate technical concepts clearly to technical and non-technical audiences.
• Bonus: background in eCommerce, QSR, or real-time customer engagement systems.
 
Why This Role Rocks
• Work on a variety of high-impact, customer-facing and operational projects.
• Be part of the early-stage buildout of our AI and ML capabilities.
• Collaborate with multiple teams on initiatives that directly shape digital experiences.
• Join a fast-moving, playful culture that values experimentation and innovation.
 
About us:
Insomnia Cookies was founded in a college dorm room by then-student, Seth Berkowitz. Fast forward 20 years and so... many....cookies... later, our innovative bakery + delivery concept has become a cult brand known for its rabid following of cookie lovers who crave Insomnia’s warm, delicious delivery all day and late into the night. With an expanding footprint of over 300 stores globally, an experiential, “sweet-easy” concept as the brand’s flagship in Philadelphia, Pa. (where Insomnia Cookies is headquartered), and a rapidly-growing nationwide shipping and gifting portfolio... Insomnia Cookies is revolutionizing the cookie game by truly "Imagining What’s Possible"!

What Insomnia Cookies employees say

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