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Temporary Data Scientist Machine Learning Jobs in Broadview, IL

Machine Learning Engineer

Chicago, IL ยท On-site +1

$95 - $105/hr

This role will work cross-functionally with various data science teams, data engineering teams, and ... If eligible, the benefits available for this temporary role may include the following: โ€ข Medical ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

As a Data Scientist at MessageControl you'll be building intelligent products to protect people ... Build complex predictive models using Machine Learning and Deep Learning algorithms to ...

Our Data Scientists partner closely with our research teams to transform complex experimental data ... Apply machine learning and modeling methods to improve design strategies * Build scalable tools and ...

Staff Data Scientist

Westchester, IL ยท On-site

$100 - $140/hr

The Staff Data Scientist will implement scalable, machine learning-based solutions to drive growth and operational efficiency across the organization. Working closely with cross-functional teams ...

They are seeking a Senior Data Scientist to develop software for data acquisition, analyze datasets, and build machine learning models while collaborating with various teams and stakeholders.

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

Data Scientist

Northbrook, IL ยท Remote

$80K - $120K/yr

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ...

... Data Scientist with an emphasis on AI integration. In this role, you will be responsible for ... You will play a crucial role in defining the AI architecture, developing machine learning models ...

Data Scientist

Northbrook, IL ยท Remote

$80K - $120K/yr

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ...

You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality ...

Senior Data Scientist

Chicago, IL ยท On-site

$89 - $127/hr

Applying quantitative techniques, including statistical and machine learning, to uncover latent ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

The Staff Data Scientist will implement scalable, machine learning-based solutions to drive growth and operational efficiency across the organization. Working closely with cross-functional teams ...

... Data Scientist to join our team ... In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ...

Senior Data Scientist

Chicago, IL ยท On-site

$89 - $127/hr

Applying quantitative techniques, including statistical and machine learning, to uncover latent ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Showing results 41-60

Temporary Data Scientist Machine Learning information

See Broadview, IL salary details

$37K

$121.1K

$193.8K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for temporary data scientist machine learning in Broadview, IL is $121,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,100.00 per year, depending on experience, location, and employer.

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 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 cities near Broadview, IL are hiring for Temporary Data Scientist Machine Learning jobs?

Cities near Broadview, IL with the most Temporary Data Scientist Machine Learning job openings:

Infographic showing various Temporary Data Scientist Machine Learning job openings in Broadview, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,065 per year, or $58.2 per hour.

Sr. Associate, Data Scientist

Revantage Corporate Services

Chicago, IL โ€ข On-site

$123K - $164K/yr

Full-time

Medical, Retirement, PTO

Posted 23 days ago


Job description

Who We Are

Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services.

With a corporate purpose of 'In Pursuit of Better,' Revantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies, spanning diverse asset classes, including residential, logistics, office, hospitality and retail sectors. Headquartered in Chicago, the company's footprint extends across North America, Europe and Asia Pacific.

Rooted in a commitment to collaboration and inclusivity, Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance, technology, human resources and operations, Revantage proactively anticipates stakeholder needs, recruits exceptional talent and enables its business partners to thrive.

What We Value: Our Culture

Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them todo their best work.

At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees' voices and support an inclusive culture.

Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer.

Our culture is built on our shared core values and commitment to be:

  • Learners - We learn from our challenges and successes

  • Leaders - We commit to continuous improvement

  • Enthusiasts - We face challenges with optimism and believe anything is possible

  • Achievers - We expect high standards for ourselves and enable the success of our teams

  • Partners - We deliver value and positive impact to our partners

Grow your career with us. As a member of our team, you'll gain hands-on experience in the real estate industry and benefit from a supportive environment that fosters personal and professional growth.

Why This Role Is Valuable

The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate actionable business insights, and collaborate cross-functionally to align data initiatives with company goals. This role directly impacts business operations for Blackstone Portfolio Companies by improving decision-making and operational efficiency through advanced analytics. It offers the chance to contribute to high-visibility projects that drive measurable value across the organization.

How You Add Value

  • Build and deploy machine learning models to optimize revenue management and pricing strategies.

  • Analyze large datasets to develop models that can drive more informed and consistent business decision-making.

  • Collaborate with peers outside the data science team to align data science initiatives with business goals.

  • Continuously evaluate and improve model performance through testing, tuning, and validation.

  • Document processes, methodologies, and findings for both technical and non-technical audiences.

What You Bring To The Role

Required:

  • 3-6 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions.

  • Proven expertise in building machine learning models, including predictive and forecasting models, optimizing business operations and decision-making.

  • Experience working in fast-paced environments while producing rigorous, well-documented work.

  • Demonstrated ability to work effectively within a team, producing and reviewing code written by peers.

  • Bachelor's degree in relevant field, e.g., statistics, computer science, data science, etc.

Technical Skills:

  • Advanced proficiency in Python, including libraries such as scikit-learn and statsmodels.

  • Strong expertise in SQL for data extraction and transformation.

  • Familiarity with GitLab/Azure Devops for collaborative development and version control.

  • Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models.

  • Solid grounding in statistics for inference and analysis.

  • Familiarity with time series analysis, regression models, and econometric techniques.

Preferred:

  • Familiarity with revenue management theory and pricing strategies is a plus.

  • Experience in real estate finance or operations is a plus.

  • Advanced degree (master's or Ph.D.) in a relevant field is a plus.

Base Compensation Range:

$123,684.00 To $164,868.00 Annually. This represents the presently-anticipated low and high end of the Company's base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.

Total Direct Compensation:

This job is also eligible for discretionary bonus and incentive compensation on an annual basis.

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Perks for You

  • Competitive salary, overall compensation, and 401(k)

  • Work-life balance offerings include:

    • Hybrid Work Policy

    • Productivity Hours - weekly meeting-free work time

    • Summer Fridays

    • Work From Anywhere Month

  • In-house and external learning & development opportunities

  • Generous health insurance and wellness benefits

Please review the Job Applicant Privacy Notice.

EEO Statement

Revantage is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com