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Scientist Python Jobs in Peoria, IL (NOW HIRING)

Caterpillar

Senior Data Scientist

Mossville, IL · On-site

Use python, Kedro, dbt, Docker, AWS, Snowflake, Azure DevOps, and related tools to create ... Establish and promote data science best practices including source control, code review, automated ...

ThreePDS Inc.

Data Scientist

East Peoria, IL · On-site

Required : • Bachelor's degree in Computer Science, Math, Statistics, or Supply Chain. • 2-3 ... Preferred : • Python experience is a plus, but not required. Company : At ThreePDS, we provide ...

Pursuit Aerospace

Lead Data Scientist

Morton, IL · On-site

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding ...

Pursuit Aerospace

Lead Data Scientist

Morton, IL · On-site

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding ...

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

The ideal candidate will have strong expertise in Python, SQL, Spark, ETL processes, and cloud ... Collaborate with Data Scientists, Business Analysts, and Software Engineers. * Implement CI/CD ...

Tek Labs Inc

System Engineer

Mossville, IL · On-site

Bachelor''s degree in Engineering, Computer Science, or related field * 2-5+ years of relevant experience * CAN, Linux, Python, and test automation * Experience with camera, radar, and LiDAR ...

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How much do scientist python jobs pay per year?

As of Aug 29, 2026, the average yearly pay for scientist python in Peoria, IL is $120,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $133,400.00 per year, depending on experience, location, and employer.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve job prospects in this field.

What are popular job titles related to Scientist Python jobs in Peoria, IL?

For Scientist Python jobs in Peoria, IL, the most frequently searched job titles are:

What job categories do people searching Scientist Python jobs in Peoria, IL look for?

The top searched job categories for Scientist Python jobs in Peoria, IL are:

What cities near Peoria, IL are hiring for Scientist Python jobs?

Cities near Peoria, IL with the most Scientist Python job openings:

Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Peoria, IL as of June 2026, with employment types broken down into 2% Internship, 90% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,429 per year, or $57.9 per hour.

Senior Data Scientist

Mossville, IL • On-site

Caterpillar

7.5

Company rating: 7.5 out of 10

Based on 487 frontline employees who took The Breakroom Quiz

271st of 495 rated machine equipment manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Caterpillarexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
CATERPILLAR REMANUFACTURING
Do you have a passion for helping customers and supporting a sustainable solution? Since 1973, Cat Reman has helped bring the value at the core of every Cat product back to life. Customers look to us to provide a high-quality solution that is good for their business - and promotes sustainability. It's important to us to deliver. Our team is full of industry leaders. Together, following common values, we share a passion for delivering sustainability benefits that help the company contribute to a circular economy. It's rewarding to work, with an inspiring team, where every contribution matters.
Caterpillar's Remanufacturing Division is looking for a Senior Data Scientist. Primary location for this position will be Mossville, IL. Additional locations to be considered: Franklin, IN, Corinth, MS, Fargo, ND, & Irving, TX.
Degree Requirement:
  • Bachelor's degree in Engineering, Computer Science, or other Technical field; or proven work experience

What You Will Do:
  • Lead the design, development, and deployment of advanced analytics, machine learning, and AI-enabled solutions that solve complex business problems across the Reman Division.
  • Apply statistical modeling, machine learning techniques, optimization methods, forecasting, simulation, and experimentation to identify opportunities, improve decisions, and deliver measurable business value.
  • Develop, validate, and operationalize descriptive analytics and predictive models using Python and modern data science practices while ensuring solutions are explainable, maintainable, and aligned to business objectives.
  • Build analytics products and decision-support tools that combine machine learning outputs, curated data assets, and intuitive Power BI reporting to improve adoption and business actionability.
  • Partner with business stakeholders to frame analytical problems, define success measures, translate business requirements into data science solutions, and communicate insights to technical and non-technical audiences.
  • Research, prototype, and implement emerging AI development approaches, including generative AI, intelligent agents, natural language interfaces, and automation opportunities that improve business processes and analytical productivity.
  • Use python, Kedro, dbt, Docker, AWS, Snowflake, Azure DevOps, and related tools to create repeatable, governed, and production-ready analytical workflows that support model development, deployment, and monitoring.
  • Collaborate with data engineering and platform partners to ensure required data pipelines, semantic models, data quality frameworks, and governed data products are available to support scalable analytical solutions.
  • Establish and promote data science best practices including source control, code review, automated testing, experiment tracking, model documentation, reproducible pipelines, and deployment standards.
  • Lead Agile planning, analytical design reviews, model review discussions, and project execution efforts while mentoring team members on data science, machine learning, AI development, and analytics engineering practices.
  • Champion sustainable analytical product development by reducing technical debt, improving reusability, and promoting standardized approaches across the Reman Analytics organization.
  • Define and execute standards for model documentation, metadata management, knowledge sharing, monitoring, and operational supportability to improve long-term maintainability of analytical solutions.

Top Candidates Will Have:
  • Hands-on experience developing data science and machine learning solutions using Python, including model development, validation, deployment, monitoring, and continuous improvement.
  • Strong understanding of supervised and unsupervised learning, forecasting, optimization, statistical analysis, feature engineering, model evaluation, and practical application of ML techniques to business problems.
  • Experience building AI-enabled solutions, including generative AI applications, natural language solutions, intelligent agents, or automation tools that improve analytical workflows and business decision-making.
  • Practical experience with modern analytics and development tools such as dbt, Kedro, AWS, Docker, Snowflake, Azure DevOps, Git, and Power BI.
  • Ability to translate ambiguous business needs into structured analytical approaches, communicate insights clearly, and deliver solutions that are adopted and sustained by the business.
  • Working knowledge of data engineering concepts, ELT/ETL patterns, data modeling, and data quality practices needed to support reliable analytical and machine learning solutions.

What You Will Have:
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Working Knowledge:
  • Explains the basic decision process associated with specific statistics.
  • Works with basic statistical functions on a spreadsheet or a calculator.
  • Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
  • Describes characteristics of sample size, normal distributions, and standard deviation.
  • Generates and interprets basic statistical data.

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Extensive Experience:
  • Evaluates and makes contributions to best practices.
  • Processes large quantities of detailed information with high levels of accuracy.
  • Productively balances speed and accuracy.
  • Employs techniques for motivating personnel to meet or exceed accuracy goals.
  • Implements a variety of cross-checking approaches and mechanisms.
  • Demonstrates expertise in quality assurance tools, techniques, and standards.

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Working Knowledge:
  • Approaches a situation or problem by defining the problem or issue and determining its significance.
  • Makes a systematic comparison of two or more alternative solutions.
  • Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
  • Identifies the major forces, events and people impacting and impacted by the situation at hand.
  • Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Working Knowledge:
  • Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
  • Utilizes specific tools and techniques to process descriptive and inferential statistics.
  • Applies specific computing languages and tools in machine learning, such as R and Python.
  • Explores to use machine learning in one own areas to make business improvements.
  • Conducts data mining and cleaning initiatives.

Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Working Knowledge:
  • Participates in the implementation and support of specialized programming languages.
  • Conducts basic reviews on writing a specific programming language within a specific platform.
  • Assists with the design and development of specialized programming languages.
  • Follows an organization's standards, policies and guidelines for structured programming specifications.
  • Diagnoses and reports minor or routine programming language problems.

Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Extensive Experience:
  • Writes, debugs and implements complex queries involving multiple tables or databases.
  • Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages).
  • Teaches others about query optimization techniques and facilities.
  • Consults on query optimization, interactive queries, testing and verification.
  • Evaluates all major database access tools and functions for distributed databases.
  • Compares and contrasts the benefits and drawbacks of various SQL products.

Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Level Working Knowledge:
  • Follows policies, practices and standards for determining functional and informational requirements.
  • Confirms deliverables associated with requirements analysis.
  • Communicates with customers and users to elicit and gather client requirements.
  • Participates in the preparation of detailed documentation and requirements.
  • Utilizes specific organizational methods, tools and techniques for requirements analysis.

What You Will Get!
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.
Here you earn more than just an hourly wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of annual bonuses.
  • Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
  • Medical, dental, and vision coverage
  • Paid time off plan (Vacation, Holiday, Volunteer, Etc.)
  • 401k savings plan
  • Health savings account (HSA)
  • Flexible spending accounts (FSAs)
  • Short and long-term disability coverage
  • Life Insurance
  • Paid parental leave
  • Healthy Lifestyle Programs
  • Employee Assistance Programs
  • Voluntary Benefits (Ex. Accident, Identity Theft Protection)

All eligible candidates MUST pass the following pre-employment screenings before they can be hired to any Caterpillar position:
  • Background Screening
  • Drug & Alcohol Screening

Please ensure you frequently sign into your candidate home for any updates or correspondence for positions that you have applied for. https://cat.wd5.myworkdayjobs.com/CaterpillarCareers
Keep a frequent check on emails as correspondence will be sent to the email that you used to apply with. If you wish to know the status of your application - please use the candidate log-in on our career website as it will reflect any updates to your status.
Visa sponsorship is NOT available for this position.
This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers
Domestic relocation assistance is offered for this position.
About Caterpillar
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
August 21, 2026 - August 28, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity

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