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Overnight Python Data Science Jobs in Elgin, IL (NOW HIRING)

Omnicom Media US

Director, Data Science

Chicago, IL · On-site

$140K - $170K/yr

Must have hands-on expertise in Python; SQL proficiency preferred * Experience with cloud computing platforms such as AWS or GCP * Experience managing data scientists and end-to-end analytics ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... in Python and/or R. Prior Management Experience Expertise in the end-to-end modeling lifecycle ...

Quanta Search

Data Scientist

Chicago, IL · Remote

Do you have experience in python working across a variety of data science tasks? Our client is looking for other inquisitive minds to help them solve challenging problems as they grow and scale their ...

AArete

Data Science Analyst

Chicago, IL · On-site

Description Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture ... Python experience for data analysis, machine learning, automation, statistical analysis, notebook ...

Quanta Search

Data Scientist

Chicago, IL · On-site

Do you have experience in python working across a variety of data science tasks? Our client is looking for other inquisitive minds to help them solve challenging problems as they grow and scale their ...

AArete

Data Science Analyst

Chicago, IL · On-site

Data Science Analyst AArete is one-of-a-kind when it comes to consulting firm culture. We're a ... Python experience for data analysis, machine learning, automation, statistical analysis, notebook ...

Varsity Tutors

Python Tutor

Dekalb, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Des Plaines, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Schaumburg, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Chicago, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Naperville, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Buffalo Grove, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Wheaton, IL · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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Overnight Python Data Science information

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

As of Jun 18, 2026, the average hourly pay for overnight python data science in Elgin, IL is $57.95, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $65.82 per hour, depending on experience, location, and employer.

What are Overnight Python Data Science jobs?

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 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 are the key skills and qualifications needed to thrive as an Overnight Python Data Science professional, and why are they important?

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 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 Elgin, IL? The most popular types of Python Data Science jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Overnight Python Data Science jobs? Cities near Elgin, IL with the most Overnight Python Data Science job openings:
Overnight Python Data Science jobs near you

Director, Data Science

Omnicom Media US

Chicago, IL • On-site

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Omnicom Media (OM), the media services division of Omnicom Group Inc. (NYSE: OMC) - delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OM connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world's leading brands in OM agencies around the globe.
Team Overview
We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.
Position Overview
As a company, we serve as the foundational data and technology layer in which analytics and insights can be accessed through a single lens. Our main goal is to advance our clients' advertising and marketing strategies through the use of smart data and technology application that unlock insights and drive business results. Our unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. We have teams of analysts, data and marketing scientists, consultants, and technical experts to help us meet the business goals of our clients.
Join our dynamic and diverse team - data solutions for marketers, by marketers.
Key Responsibilities
As a member of the Data Science team, you will work with agency strategists and media buyers to create solutions that shape the strategic direction of your client's marketing plans through data-driven insights, audience solutions, and measurement techniques.
This will involve
  • Interacting with client and programmatic teams (internal agency and external) to plan & execute optimization strategies as well as test & measurement plans related to media performance
  • Working with tech partners directly regarding data, clean rooms, custom bidding platform functionality, and troubleshooting related issues
  • Working with data from ad servers, DSPs, measurement partners, and other online and offline datasets to develop client-specific solutions
  • Collaboratively ideating and building tools that aid with analysis and ML transparency, visualization, and performance measurement

Required Skills And Qualifications
  • 6+ years of industry experience; knowledge of ad-tech ecosystem, programmatic advertising, and agency work experience a plus
  • Bachelor's degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields
  • Advanced quantitative degree or intensive bootcamp experience is preferred
  • Must have hands-on expertise in Python; SQL proficiency preferred
  • Experience with cloud computing platforms such as AWS or GCP
  • Experience managing data scientists and end-to-end analytics projects
  • Direct exposure to client media, marketing, and analytics teams

Our culture and working style within the group fosters a positive, productive, entrepreneurial team spirit. We demonstrate a strong working knowledge of media across all channels and are data driven in our approach. We use analytic and technical knowledge to identify the most effective strategies to address our clients' needs. We also work to stay sharp and up to date with our skills and trends in the marketplace that help us bring the best for our clients.
#LI-CC2
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 relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$140,000-$170,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
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