ZipRecruiter

Log In

1

Temporary Data Scientist Machine Learning Jobs in Minnesota

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 ...

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/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 ...

RELX

Data Scientist

Minneapolis, MN · On-site

The Data Scientist role involves leading predictive modeling and statistical analysis across ... Responsibilities : • Build and deploy machine learning models using R, Python, SAS, and SQL. • ...

General Mills

Sr. Data Scientist

Minneapolis, MN

$110K - $184K/yr

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

General Mills

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

Cargill

Senior Data Scientist

Wayzata, MN

$148K/yr

... Machine Learning (AI/ML) platforms, such as Amazon SageMaker, SAP IBP, and a custom time series ... manage data science initiatives in food supply chain planning, including scoping, development ...

Cargill

Senior Data Scientist

Wayzata, MN

$148K/yr

... Machine Learning (AI/ML) platforms, such as Amazon SageMaker, SAP IBP, and a custom time series ... manage data science initiatives in food supply chain planning, including scoping, development ...

next page

Showing results 1-20

All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Minnesota

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.
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:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Minnesota? For Temporary Data Scientist Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Minnesota look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Minnesota are:
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
Senior Data Scientist III

Senior Data Scientist III

RELX Group plc

Minneapolis, MN • On-site

$115K - $192K/yr

Full-time

Re-posted 5 days ago

Job description

LexisNexis Risk Solutions
We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems too
https://risk.lexisnexis.com
About the Role:
Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.
Responsibilities:
  • Must be a US Citizen or Greencard holder
  • Independently scope, execute and lead small scale projects. Independently execute for more complex projects.
  • Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements.
  • Extract, clean and design large and complex datasets to support analysis and product deliveries. Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes.
  • Assist in creation of crime data vectorization, similarity measures, and clustering.
  • Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools.
  • Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders.
  • Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.

Required Qualifications:
Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience. Or a Master's Degree in related field and 5+ years of relevant work experience.
Skills and Competencies:
  • This person needs to be inside the US boundaries to work on the projects based on necessary compliance.
  • Proficient user of Python, SQL, Pandas, and NumPy.
  • Competent user of Java.
  • Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI, Copilot, and Claude.
  • Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features.
  • Strong documentation, written and verbal communication skills.
  • Strong interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.
  • Organized with the ability to handle multiple concurrent activities.
  • Self-starter and eager to learn.
  • Demonstrates leadership within small teams.
  • Detail oriented and critical thinker with strong analytical thinking skills.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.

Apply