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Overnight Python Data Science Jobs in Chicago Heights, IL

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 ...

Demonstrates high level of proficiency in Python, and at least one data science toolkit (Sklearn, Tensorflow, etc.) * Some experience with data visualization * Some experience with productionizing a ...

Demonstrates high level of proficiency in Python, and at least one data science toolkit (Sklearn, Tensorflow, etc.) * Some experience with data visualization * Some experience with productionizing a ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Translate risk management business requirements into well-defined data science solutions, including ... Strong Python and SQL skills. * Experience with NLP or text analytics, including narrative cleaning ...

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Translate business problems in a variety of business areas into well-defined data science projects ... Expertise in Python, SQL, and Spark, and a broad array of machine learning frameworks (Scikit-Learn ...

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

The data science intern will help drive proactive and predictive insights that inform strategic ... By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute ...

New

Showing results 41-60

Overnight Python Data Science information

See Chicago Heights, IL salary details

$12

$57

$84

How much do overnight python data science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for overnight python data science in Chicago Heights, IL is $57.29, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.10 per hour, depending on experience, location, and employer.

What is an overnight Python data science job?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What skills and qualifications are needed to thrive as an overnight Python data science professional?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What are the main challenges of working as an overnight Python data science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

What are the most commonly searched types of Python Data Science jobs in Chicago Heights, IL?

The most popular types of Python Data Science jobs in Chicago Heights, IL are:

What cities near Chicago Heights, IL are hiring for Overnight Python Data Science jobs?

Cities near Chicago Heights, IL with the most Overnight Python Data Science job openings:

Manager, Data Science (Audience Solutions)

Publicis Groupe Holdings B.V

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency


Job description

Company Description

Zenith is one of Publicis Groupe's largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry. Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.

Overview

What does Zenith Data Sciences do?

Working closely with both the Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients' marketing to real-world business goals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

Responsibilities

What does a successful Manager of Data Science look like?

We don't all look the same, and we don't expect you to, either. But successful members of our team generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don't shy away from a challenge, and are always hungry to learn more.

Among Manager candidates, we look for prior experience in media analytics, especially digital media and audiences segmentation/modeling. You should be seasoned at representing your team to external clients and internal leadership. We hope you have a love for numbers and know how to bring data to life through a compelling story. We're also hoping you have at least 1-2 years of experience managing team members and have at least 4 years of prior professional experience.

What does a Manager of Data Science do day-to-day?

You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients' business needs and using data to tell great stories. A Manager will also help formulate a vision for their accounts and bring that vision to life. As such, a Manager is a mentor, manager, project manager, and thought leader, all at the same time. 

Qualifications
  • 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
  • 1+ Year in a managerial role
  • Bachelor's degree in a STEM or other related field, or equivalent work experience.
  • Strong knowledge of Relational Databases and SQL programming.
  • Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R.
  • Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems.
  • Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC).
  • Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA)
  • Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
  • Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
  • Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.  Our benefits package includes medical coverage, dental, vision, disability, 401K,  as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com. 

All your information will be kept confidential according to EEO guidelines.

Veterans Encouraged to Apply.

#LI-JK2

 Compensation Range: USD $88,540.00 - USD $95,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/28/2026.Employment Type: FULL_TIME

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