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

Demonstrated success delivering end-to-end data science solutions in a production environment. * Deep hands-on expertise with SQL and Python.. * Strong experience working in cloud-based environments ...

Demonstrated success delivering end-to-end data science solutions in a production environment. * Deep hands-on expertise with SQL and Python.. * Strong experience working in cloud-based environments ...

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

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 ...

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

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

Python Tutor

Oak Lawn, 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 ...

Python Tutor

Evanston, 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 ...

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 ...

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

Python Tutor

Skokie, 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 ...

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

AI and Data Science Engineer III

Chicago, IL

$118K - $141K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

... in Python or R for statistical modeling and data wrangling. • 4+ years of hands-on experience ... science and AI/ML). • Experience working with workforce, HR, or human capital data (e.g ...

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Overnight Python Data Science information

See Niles, IL salary details

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

As of Jun 8, 2026, the average hourly pay for overnight python data science in Niles, IL is $58.35, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $66.25 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 Niles, IL? The most popular types of Python Data Science jobs in Niles, IL are:
What cities near Niles, IL are hiring for Overnight Python Data Science jobs? Cities near Niles, IL with the most Overnight Python Data Science job openings:
Sr. Data Scientist

Sr. Data Scientist

HNI Corporation

Chicago, IL • On-site, Remote

Full-time

Posted 18 days ago


HNI Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

10th of 46 rated furniture manufacturers


Job description

HNI Corporation is a global family of brands for the workplace and home dedicated to enhancing the spaces where we live, work, and gather. We pride ourselves on fostering an environment where we make a positive impact on others; upholding our beliefs in integrity, inclusion and belonging.
 
The Senior Data Scientist is a highly experienced individual contributor within the Decision Science team, responsible for solving complex, cross-functional, and high-impact business problems using advanced analytics, machine learning, and statistical modeling. This role goes beyond model development to include technical leadershipsolution design, and end-to-end ownership of data science initiatives—from problem framing and data strategy through production deployment and performance monitoring.
 
As a senior member of the team, this role helps shape HNI’s data science standards, mentors other data scientists, and partners closely with business and IT leaders to ensure data science solutions are scalable, reliable, and aligned to strategic priorities.
 
WORK AUTHORIZATION & LOCATION REQUIREMENT
 
This position is primarily remote but requires candidates to reside within the Chicagoland area and attend occasional onsite meetings as needed. Due to the remote nature of this role and associated employment requirements, the company is unable to provide employment-based visa sponsorship now or in the future. Applicants must be authorized to work in the United States without sponsorship, and candidates requiring current or future sponsorship will not be considered.
ESSENTIAL DUTIES AND REPONSIBILITIES
Advanced Analytics & Model Development
  • Lead the design, development, and deployment of advanced predictive, prescriptive, and machine learning models to support enterprise decision-making.
  • Apply advanced statistical techniques, feature engineering, and algorithm selection to complex, multi-source datasets.
  • Use SQL, Python and related tools to analyze large-scale internal and external data sources.
  • Identify patterns, trends, and drivers of business performance across manufacturing, supply chain, sales, and operations.

End-to-End Solution Ownership

  • Own data science solutions from initial concept and feasibility assessment through production deployment and ongoing optimization.
  • Define modeling approaches, validation strategies, and performance metrics to ensure business value and technical rigor.
  • Monitor deployed models for performance, drift, and stability; recommend enhancements or retraining strategies.
  • Partner with data engineering and IT teams to ensure models are production-ready and operationally supported.

Business Partnership & Communication

  • Translate complex analytical concepts and results into clear, actionable insights for business leaders and non-technical stakeholders.
  • Act as a trusted analytics advisor to cross-functional partners, influencing decisions through data-driven recommendations.
  • Support executive-level discussions by framing trade-offs, assumptions, and risks associated with analytical solutions.

Technical Leadership & Standards

  • Establish and promote best practices for model development, documentation, testing, and deployment.
  • Mentor and guide junior and mid-level data scientists, providing technical feedback and coaching.
  • Contribute to the evolution of HNI’s data science toolset, methodologies, and operating model.
  • Evaluate emerging analytics, ML, and AI techniques and recommend practical adoption.

Data Strategy & Innovation

  • Collaborate on the design of data collection strategies, analytics pipelines, and feature stores that improve modeling effectiveness.
  • Partner with analytics, BI, and data platform teams to ensure data science outputs are usable across the enterprise.
  • Support advanced use cases such as optimization, simulation, and early-stage AI initiatives.
EXPERIENCE AND REQUIRED SKILLS
  • 7+ years of progressive experience in advanced analytics, data science, or machine learning roles.
  • Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline.
  • Demonstrated success delivering end-to-end data science solutions in a production environment.
  • Deep hands-on expertise with SQL and Python..
  • Strong experience working in cloud-based environments (Azure preferred; AWS/GCP acceptable).
  • Solid understanding of Linux-based systems and distributed computing environments.
  • Exceptional analytical, problem-solving, and critical-thinking skills.
  • Strong communication, consulting, and stakeholder engagement capabilities.

PREFERRED QUALIFICATIONS

  • Experience supporting analytics in manufacturing, supply chain, or complex operational environments.
  • Exposure to MLOps practices, model lifecycle management, or scalable deployment frameworks.
  • Experience collaborating with data engineers, architects, and platform teams.
  • Familiarity with advanced analytics use cases such as optimization, forecasting, or AI-enabled decision support.

RELEVANT SKILLS

  • Strategic thinker with the ability to connect analytical work to business outcomes.
  • Technically curious, with a passion for continuous learning and innovation.
  • Comfortable operating with ambiguity and shaping problem definitions.
  • Collaborative mentor who elevates team capability without formal authority.
  • High standards for accuracy, reproducibility, and analytical rigor.
We look forward to hearing from you!

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