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Freelance R Programming Language Jobs in Minnesota

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration ... language model training. * Lead data science practices, including model selection and training ...

Remmele

Quality Engineer

Coon Rapids, MN · On-site

$80K - $100K/yr

Conduct PFMEA, GR&R, and SPC studies. * Quality System Documentation: * Create and maintain quality ... language proficiency, and other job-specific qualifications. Employees and their families are ...

Nexwave

Sr. Data Scientist

Minnetonka, MN · On-site

$70/hr

... Engineering, or related field. * Strong Python/R/SAS and SQL skills. * Experience with machine ... language models. * Experience with CI/CD platforms and automated deployment workflows for ...

STERIS Corporation

Senior Mechanical Engineer

Plymouth, MN · Hybrid

$110K - $145K/yr

Collaborate w/ Marketing, Q&R, Manufacturing, Service, Supply Chain, Regulatory Affairs, Vendors ... foreign language fluency, etc. STERIS offers a comprehensive and competitive benefits portfolio.

Steris Corporation

Senior Mechanical Engineer

Plymouth, MN · On-site

$109K - $144K/yr

Collaborate w/ Marketing, Q&R, Manufacturing, Service, Supply Chain, Regulatory Affairs, Vendors ... foreign language fluency, etc. STERIS offers a comprehensive and competitive benefits portfolio.

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Freelance R Programming Language information

What is a freelance R programmer?

A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.

What are the key skills and qualifications needed to thrive as a freelance R programmer?

To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.

What are some common challenges freelance R programmers face when working with clients remotely?

Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.

What is the difference between Freelance R Programming Language vs Data Analyst?

AspectFreelance R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentIndependent, project-based, remote or on-siteTypically in organizations, team-based, office or remote
CertificationsR certifications, data analysis coursesData analysis, business intelligence certifications
Industry usageFreelance projects across various industriesCorporate, finance, healthcare, marketing

Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.

Are freelance R programming language programmers in demand?

Freelance R programming language programmers are in demand due to the growing need for data analysis, statistical modeling, and data visualization across industries such as finance, healthcare, and research. Skills in data manipulation, statistical packages, and experience with tools like RStudio increase employability in freelance roles, which often require strong analytical and programming expertise. The demand is expected to grow as data-driven decision-making becomes more prevalent.

What are the most commonly searched types of R Programming Language jobs in Minnesota?

The most popular types of R Programming Language jobs in Minnesota are:

What are popular job titles related to Freelance R Programming Language jobs in Minnesota?

For Freelance R Programming Language jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Freelance R Programming Language jobs in Minnesota look for?

The top searched job categories for Freelance R Programming Language jobs in Minnesota are:

Freelance R Programming Language jobs near you
Infographic showing various Freelance R Programming Language job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 16% Part Time, 1% Temporary, and 7% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Principal AI / ML Engineer

Minneapolis, MN • On-site

NxT Level
See more jobs at NxT Levelexternal

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago

Job description

Our client is a digital consumer product. They're building social features using LLMs and Machine Learning to add to user experience. We're looking for a Principal Machine Learning Engineer to build AI features for the family.
Qualifications:
  • A confident craftsperson who possesses problem-solving tools and can discuss multiple approaches while preferring the best approach given the constraints.
  • A scientific artist and artistic scientist who can navigate complexity and bring clarity to intricate problems while appreciating simplicity as the highest sophistication.
  • A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental improvements toward ambitious goals.
  • An advocate for team collaboration and open communication.
  • Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques.
  • Significant experience in AI/ML engineering with a strong data science background.
  • Demonstrated ability in designing and training LLMs.
  • Expertise in Databricks/Apache Spark for large-scale data processing in AI/ML applications.
  • Proficiency with AWS Bedrock and Comprehend.
  • Demonstrated leadership in AI/ML solutions in a commercial environment.
  • Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration and processing.
  • Proven ability to lead and inspire teams of senior engineers and data scientists.
  • Effective individual contributor within a collaborative team environment.
  • Strong analytical, problem-solving, and communication skills.

Responsibilities:
  • Collaborate with the Data team to transform Data Lakehouse potential into actionable insights and services that enhance user experiences.
  • Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science principles.
  • Implement technologies in AWS and Databricks for handling and processing large datasets for advanced language model training.
  • Lead data science practices, including model selection and training methodology.
  • Build, train, manage, and host LLMs using Data Lakehouse data.
  • Optimize AI system performance through testing and tuning, leveraging data science and Databricks methodologies.
  • Ensure ethical standards and data privacy compliance in AI solutions.
  • Provide specialized AI/ML expertise to guide the development and optimization of AI features.
  • Stay updated on the latest AI/ML and data science trends, especially in LLMs and AWS, Databricks/Apache Spark technology.

Benefits:
  • Full Medical Coverage: OFW covers 100% of premiums for employees and their families.
  • 401k: Up to a 4% match with immediate vesting.
  • 12 weeks of paid leave for all new parents.
  • Learning & Development stipend for employees.
  • Supportive and flexible working environment, allowing remote work from anywhere.

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