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Temporary Machine Learning R Jobs in Schaumburg, IL

Develop and implement machine learning algorithms, models, and computational systems; design and ... Python, C++, Java, R, SQL * Strong written & verbal communication skills and ability to communicate ...

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

... R, MATLAB, or C++ for conducting research * Can advocate for your beliefs in a concise and effective way with the team * Significant hands-on experience applying machine learning algorithms to real ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Design, build, and deploy advanced analytical and statistical machine learning models to ... Python / R Programming to write clean, scalable data science code and maintain custom software ...

Develop and implement machine learning algorithms, models, and computational systems; design and ... Python, C++, Java, R, SQL * Strong written & verbal communication skills and ability to communicate ...

Develop and implement machine learning algorithms, models, and computational systems; design and ... Python, C++, Java, R, SQL * Strong written & verbal communication skills and ability to communicate ...

Showing results 41-60

Temporary Machine Learning R information

See Schaumburg, IL salary details

$25K

$41.8K

$86.4K

How much do temporary machine learning r jobs pay per year?

As of Sep 10, 2026, the average yearly pay for temporary machine learning r in Schaumburg, IL is $41,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,200.00 per year, depending on experience, location, and employer.

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

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are popular job titles related to Temporary Machine Learning R jobs in Schaumburg, IL?

For Temporary Machine Learning R jobs in Schaumburg, IL, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning R jobs in Schaumburg, IL look for?

The top searched job categories for Temporary Machine Learning R jobs in Schaumburg, IL are:

What cities near Schaumburg, IL are hiring for Temporary Machine Learning R jobs?

Cities near Schaumburg, IL with the most Temporary Machine Learning R job openings:

Infographic showing various Temporary Machine Learning R job openings in Schaumburg, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $41,816 per year, or $20.1 per hour.

AI/ML Computational Science Engineer

Chicago, IL • On-site

Accenture
IT Services • 10K+ employees

$26.39 - $77.88/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

hackajob is collaborating with Accenture to connect them with exceptional professionals for this role.

We Are

Accenture is helping enterprises reinvent their organizations and businesses with human-centered AI solutions and services to drive breakthrough innovation and lasting competitive advantage. With more than 45,000 AI and data professionals across the company, our AI & Data practice brings together cutting-edge AI technologies, deep industry experience, strategic investment, exceptional interdisciplinary talent, and a powerful ecosystem of partners to help clients scale AI with speed and confidence.

You Are

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

The Work

  • Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

  • Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

  • Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

  • Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

  • Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

  • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

  • Justify the value of model approaches in business problems

  • Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

  • Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

  • Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

  • Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

  • Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.

Bonus points if you have

  • Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

  • Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

  • Experience with the following programming languages:  Python, C++, Java, R, SQL

  • Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

  • Strong client-facing skillsets in a consulting environment

  • Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

  • Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

  • MS or PhD in related field preferred (computer science, engineering, etc.)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 11/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location                                    Hourly Salary Range

California                                           $26.39 to $77.88

Cleveland                                           $24.42 to $62.31

Colorado                                            $26.39 to $67.31

Columbus                                          $24.42 to $62.31

Connecticut                                      $26.39 to $67.31

District of Columbia                          $28.08 to $71.63

Illinois                                                $24.42 to $67.31

Maine                                               $22.45 to $57.31

Maryland                                          $26.39 to $67.31

Massachusetts                                 $26.39 to $71.63

Minnesota                                          $26.39 to $67.31

New York                                           $24.42 to $77.88

New Jersey                                       $28.08 to $77.88

Virginia                                              $24.42 to $71.63

Washington                                       $28.08 to $71.63

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

What We Believe 

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. 

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here 

Requesting An Accommodation 

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement 

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the  Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements 

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees.


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