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Overnight Python Data Science Jobs in Illinois (NOW HIRING)

1872 Consulting

Data Scientist

Chicago, IL · On-site

Thus, bookending the "data science" itself, you will be responsible for communicating with ... in R, Python, Spark (pySpark, Spark Scala), or related languages for the application of data ...

1872 Consulting

Data Scientist

Chicago, IL · On-site

Thus, bookending the "data science" itself, you will be responsible for communicating with ... in R, Python, Spark (pySpark, Spark Scala), or related languages for the application of data ...

Socket.dev

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling ... Advanced proficiency in Python, R, SQL, and modern data visualization tools. * Experience working ...

Kemper

Data Science Manager

Bloomington, IL · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... Strong proficiency in Python and SQL. * Experience with software development best practices ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

Responsibilities : • Develop software, typically in Python, to independently acquire data from ... data science language (F1 scores, regression error, statistical significance, etc.) as well as ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... Strong proficiency in Python and SQL. * Experience with software development best practices ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Degree preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework * Proven experience using Python for data ...

Cccis

Data Science Engineer Internship

Chicago, IL · On-site

$20 - $43/hr

Python and SQL * Apache Airflow * Data governance and data quality What you'll do: * Build end-to ... Partner with data scientists and ML engineers to make datasets model-ready, including preparing ...

ZS

Advanced Data Science Manager

Evanston, IL · On-site

$225K - $240K/yr

What you'll do: Advanced Data Science Manager in AI will... * Lead and mentor a team of data ... Python/R); * Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure)

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

... Python, SQL,and Spark, formalizing some of these efforts into repeatable process improvements ... Leadnewenvironment setup on behalf of data science teams. As a projectleader,you willtakeownership ...

Transunion

Data Science Platform Developer

Chicago, IL · On-site

... Python, SQL,and Spark, formalizing some of these efforts into repeatable process improvements ... Leadnewenvironment setup on behalf of data science teams. As a projectleader,you willtakeownership ...

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Overnight Python Data Science information

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 Illinois?

The most popular types of Python Data Science jobs in Illinois are:

What cities in Illinois are hiring for Overnight Python Data Science jobs?

Cities in Illinois with the most Overnight Python Data Science job openings:

Overnight Python Data Science jobs near you

Associate Director, Data Science

Starcom Mediavest Group Germany Gmbh

Chicago, IL • On-site

$60K - $61K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

Company Description
PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.
Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.
Job Description
Position Summary
This role plays a key role in delivering advanced analytics and audience solutions for pharmaceutical and healthcare clients. Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that inform marketing strategy, audience engagement, and business decisions.
You will serve as a technical lead across multiple client engagements, partnering with cross-functional teams to develop privacy-compliant, data-driven solutions. This individual combines strong analytical expertise with a consultative mindset and a passion for solving complex business challenges through data.
Responsibilities
Key Responsibilities
  • Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for client and internal initiatives.
  • Consult with client teams and internal stakeholders to understand business objectives, audience strategies, and measurement needs, translating those into scalable analytical approaches.
  • Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.
  • Leverage healthcare-specific data assets, including HCP/NPI-level, claims, prescription, and other healthcare data sources, to develop actionable audience, measurement, and commercial insights while ensuring compliance with HIPAA and applicable privacy regulations.
  • Apply advanced media measurement methodologies, including marketing mix modeling (MMM), multi-touch attribution, incrementality testing, lift studies, and experimental design to evaluate campaign effectiveness and optimize marketing investments.
  • Apply advanced statistical methods, predictive modeling, and supervised and unsupervised machine learning techniques to solve marketing and business challenges.
  • Develop practical applications of AI and advanced analytics to improve insights, workflow efficiency, and decision-making.
  • Leverage cloud-based data platforms and modern analytics environments to extract, transform, and analyze data from a variety of sources.
  • Build clear presentations, dashboards, and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.
  • Drive automation of recurring analyses, reporting, and model monitoring to improve operational efficiency and scalability.
  • Promote best practices in statistical analysis, model validation, documentation, data quality, and reproducible analytics.
  • Collaborate closely with Strategy, Media, Technology, Analytics, and Client teams to deliver integrated, data-driven solutions.
  • Mentor Data Scientists and Analysts by providing technical guidance, coaching, and support for ongoing development.
  • Stay current on emerging analytics, AI, and healthcare marketing trends, contributing ideas that strengthen the agency's analytics capabilities and offering

Qualifications
Requirements
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred.
  • 7+ years of experience in data science, statistical modeling, machine learning, predictive analytics, or marketing analytics.
  • Experience leading complex analytics projects and providing technical leadership to cross-functional teams.
  • Advanced proficiency in Python, R, SQL, and modern data visualization tools.
  • Experience working with cloud-based analytics platforms such as Azure, Databricks, Snowflake, AWS, or similar technologies.
  • Experience in applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
  • Strong understanding of statistical modeling, machine learning, predictive analytics, experimental design, media measurement methodologies (including marketing mix modeling, attribution, incrementality, and lift testing), and data visualization techniques.
  • Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear, actionable recommendations.

Preferred Qualifications
  • Demonstrated ability to manage multiple client engagements and priorities in a fast-paced, collaborative environment.
  • Experience mentoring junior team members and fostering technical best practices.
  • Experience within healthcare, pharmaceutical, life sciences, or marketing analytics.
  • Experience working with healthcare and pharmaceutical data sources, including HCP/NPI-level data, medical and pharmacy claims, prescription data, and commercial healthcare datasets.
  • Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health, MMIT, Komodo Health, IQVIA, PurpleLab, or similar data providers.
  • Experience working within privacy-safe data environments, including clean rooms and HIPAA-compliant environments, with knowledge of PHI, de-identified, and limited datasets.

Additional Information
Our Publicis Groupe motto "Viva La Différence" 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.
#LI-YM1
Compensation Range: USD $112,290.00 - USD $161,280.00/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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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 11/1/2026.

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