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Scientist Python Jobs in Chicago Heights, IL (NOW HIRING)

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

Write clean, well-documented Python code using standard data science libraries. * Assist with model evaluation, diagnostics, and performance monitoring. * Collaborate with researchers and engineers ...

Proficiency with the Python scientific and ML ecosystem and experience on Linux HPC / SLURM clusters or cloud environments. * Ability to conduct independent research, mentor junior lab members, and ...

Computational skills using Python and/or R, including experience with data science and biological computing libraries. * Expertise with cloud computing environments (AWS or GCP), container solutions ...

Our Data Scientists research and create our learning infrastructure using Python and then work with Data Engineering to build micro services into our data lake. A career at Strike is an exciting ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

The Senior P&C Data Scientist owns the development and improvement of analytical models and ... Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join ... Experience with statistical modeling techniques and building predictive models using Python, SAS or ...

New

... such as Python and C++ to develop and deploy AI models - Managing complex data analysis and ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Strong Python and SQL skills. * Experience with NLP or text analytics, including narrative cleaning ...

Showing results 41-60

Scientist Python information

See Chicago Heights, IL salary details

$36.7K

$120K

$192.1K

How much do scientist python jobs pay per year?

As of Aug 14, 2026, the average yearly pay for scientist python in Chicago Heights, IL is $119,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $132,900.00 per year, depending on experience, location, and employer.

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 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 much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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.

Which scientist Python job is in demand?

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

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

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

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

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

Data Scientist I

Tavern Research

Chicago, IL • On-site

$95K - $113K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago


Job description

Data Scientist I
Location: Chicago, IL
Office: 3 days/week in South Loop office
Reports to: Chief Technology Officer (CTO)
About Tavern Research
Tavern Research is a political tech startup building tools and insights to help our customers win elections and make better, evidence-based decisions. We specialize in scaling expert human work, such as content generation and survey research to support thoughtful, data-driven civic engagement. We're a venture-backed, mission-driven, fast-moving, and mostly technical team focused on supporting campaigns and organizations working to strengthen democratic participation. We are experimental by design and expect every team member to continuously improve how they work using new tools and technology. Everything else is on our website. If you still have questions, let us know when you apply!
About You
You're endlessly curious, adaptable, and detail-obsessed in the best way. You love rolling up your sleeves to wrestle messy data into shape, making it clean, usable, and ready to reveal its secrets. You're excited to learn from seasoned teammates but are also comfortable working independently on well-defined problems from day one.
You thrive in a collaborative, friendly, and nerdy environment where people genuinely love what they do. You chase the thrill of deep focus, appreciate your teammates' brainpower, and hunger for the rush of solving problems no one else has dared to tackle. These are the kinds of challenges that stay with you-in the shower, as you fall asleep, tugging at your brain in the best possible way.
You're interested in politics, and the ways in which public opinion is created and shaped. You understand the power of narratives to shape the world around us, and want to play a part in the high-stakes, real-world battle over hearts and minds.
Most importantly, you bring humility, patience, and a commitment to detail. You bring focus and efficiency to your work, knowing when to go deep and when to ship 'good enough.' You see this role as a chance to sharpen your craft, learn fast, and make a real contribution to high-stakes, real-world problems.
About the role
At Tavern Research, we're building models to understand and influence how people form opinions online. That means taking on problems like tracing how narratives spread through social platforms, or analyzing how different messages land with different audiences. The data is messy, the questions are ambiguous, and the stakes are high.
As a member of the Data Science team, your role is to help make this work possible. You'll dive into raw, noisy datasets to clean, structure, and prepare them for analysis. You'll run exploratory analyses to surface patterns, build features, and support experiments. You'll contribute to modeling tasks end-to-end, helping turn difficult, open-ended questions into tangible, testable results. While you'll collaborate closely with senior modelers, we expect new hires to ramp quickly and take ownership of clearly scoped modeling and data tasks.
From day one, you'll be hands-on with real-world data and problems that matter. You'll have support from senior team members, but you'll also be expected to bring rigor, patience, and persistence to your work. Over time, as your skills deepen, you'll have opportunities to take ownership of increasingly complex modeling projects, building toward the point where you can design and lead experiments yourself.
We value in-person collaboration and expect employees to work regularly from our Chicago office.
Responsibilities
  • Work hands-on with real-world, unstructured data: cleaning, debugging, and engineering features that support effective models.
  • Support the design and execution of numerical experiments by handling data prep, fitting models, and running standard analyses.
  • Contribute to feature engineering and model building, taking ownership of clearly defined components of modeling projects.
  • Write clean, well-documented Python code using standard data science libraries.
  • Assist with model evaluation, diagnostics, and performance monitoring.
  • Collaborate with researchers and engineers to scope and execute tightly defined tasks.
  • Learn and apply best practices and emerging tools in machine learning, AI, and causal inference.

Qualifications
We know it's rare to check every box. If you meet most of these, we encourage you to apply:
  • This role is designed for early-career candidates with 0-3 years of experience or equivalent hands-on project work who are eager to grow into more advanced modeling responsibilities.
  • Strong academic or applied background in data science and software engineering or closely related fields.
  • Experience building statistical models (beyond differential equations or simulations).
  • Demonstrated experience working with messy, real-world datasets.
  • Proficiency in Python and standard data science libraries.
  • Familiarity with AI and machine learning concepts like embeddings, supervised and unsupervised ML methods, and agentic systems
  • Clear understanding of the data science concepts behind work you've done (not just "I ran the code").
  • Strong communication skills and a collaborative mindset
  • Humility, patience, and attention to detail.
  • We especially value candidates who have independently built data or modeling projects outside of coursework, including internships, research, or production data work.
  • Bonus: exposure to model deployment, large language models, or causal inference.

To be explicit: you don't need a degree to work here. You just need to be exceptional at what we're asking from you.
Benefits
  • Premium health insurance
  • Unlimited PTO
  • Office closed for all federal holidays
  • 401k match
  • Equity

Tavern Research is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The pay range for this role is:
95,500 - 113,500 USD per year (Chicago, IL)