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

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Develop software, typically in Python, to independently acquire data from disparate sources ... Plan and execute data science training sessions and hackathonsWork with external parties (vendors ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Prolaio

Sr. Data Scientist, Clinical

Chicago, IL · On-site

Experience in Python for machine learning and pipeline development. Experience in R for ... Tools for data science : Familiarity with modern coding standards for data science including ...

Capital One

Principal Associate, Data Scientist

Chicago, IL · On-site

$60K - $61K/yr

Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models ...

Kemper

Data Scientist

Chicago, IL · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

Socket.dev

Data Scientist

Chicago, IL · On-site

$110 - $160/hr

Strong proficiency in Python and SQL. * Experience with machine learning frameworks such as Scikit ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ...

New

Monosol-Llc

Data Scientist

Chicago, IL · On-site

$130 - $155/hr

Strong proficiency in Python and modern data science tooling (e.g., pandas, NumPy, scikit‑learn, PyTorch/TensorFlow, LightGBM, SHAP); familiarity with R or JMP is a plus * Deep grounding in ...

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All JobsScientist Python JobsScientist Python Jobs in Chicago Heights, IL

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 9, 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 cities near Chicago Heights, IL are hiring for Scientist Python jobs? Cities near Chicago Heights, IL with the most Scientist Python job openings:
Scientist Python jobs near you

Sr. Data Scientist

Northern Trust

Chicago, IL • On-site

$114K - $194K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Northern Trust rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.

Major Duties :Develop software, typically in Python, to independently acquire data from disparate sources (databases, files, APIs, etc.) and combine them into appropriate training , validation and testing datasetsAnalyze raw datasets using descriptive statistics, working directly with domain experts to understand the meaning of data fieldsBuild unit tests, data quality checks and data pipelines to ensure that algorithms use trusted dataDevelop and maintain an understanding of many algorithms across supervised learning, unsupervised learning and time series analysis Propose and develop machine learning ensemble methods that exhibit the best out-of-sample characteristics possible given the input datasetUtilize expertise in machine learning algorithms to tune algorithms using available hyper-parameters and carefully select feature subsetsDiscover biases or leakage in datasets and ensure that train/test splits reflect realistic expectations of real world performanceRun large scale (either in parallel and/or distributed) training and inference jobs on private or public cloud infrastructureMay present findings to internal and external customers using both data science language (F1 scores, regression error, statistical significance, etc.) as well as business domain specific language gained from experience analyzing the data in scope.Provide some guidance to other software development teams as Data Science Lab prototypes are engineered for full production environmentsWork across multiple projects in a fluid environment where work is required across the full research lifecycle from forming a hypothesis, acquiring data, and developing ETL-style software to presenting findings.Plan and execute data science training sessions and hackathonsWork with external parties (vendors, universities, etc.) to incorporate new techniques and tools into the data science labSolves complex problemsTakes a new perspective on existing solutionsExercises judgment based on the analysis of multiple sources of informationImpacts a range of customer, operational, project or service activities within own team and other related teamsWorks within broad guidelines and policiesKnowledge :Python, Common Python libraries (numpy ,pandas, sklearn, etc.), Linux based operating systems, and basic development tools (Python IDEs, source control, etc.) requiredAdvanced distributed machine learning frameworks (e.g. Keras, TF, etc.), Azure cloud infrastructure preferredRequires in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplinesApplies best practices and how own area integrates with othersExplains difficult or sensitive information; works to build consensusExperience :Computer Science degree (undergraduate or graduate level) and strong statistical background. Data Science specific graduate work, Finance sector experience or coursework preferredActs as a resource for colleagues with less experience;May lead small projects with manageable risks and resource requirements

Salary Range:

$114,500 - 194,700 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve!Join a workplace with a greater purpose.

We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us andapply today.#MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.


We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

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