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

... Python to develop analytical solutions • 7+ years with data wrangling, data cleaning and prep ... science capabilities to supply chain and operations business problems • Ability to work in a ...

... in Python • Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) or ... into data science problems and communicating the results to non-technical audiences • Self ...

What you'll do as a Data Science Intern at Rundoo * Analyze data on product, sales and GTM ... You are comfortable working in Python and using Git to track your work (~ 1 year of experience with ...

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

Director, Data Science The Data Science team is pivotal in the delivery of modern agency services ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

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 ...

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 ...

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 ...

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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 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:
Director Data Science (P2415)

Director Data Science (P2415)

84.51˚

Chicago, IL • On-site

Full-time

Posted 15 days ago


Job description

Job Summary:
84.51° is a retail data science, insights and media company. The role of Director of Data Science will lead the supply chain data scientists and partner with the Product and Engineering community to develop solutions for stakeholders within the supply chain workstreams.
Responsibilities:
• Influence and partner with SCORe team leaders to set the vision and future road map by developing immediate and long-term strategic plans in supply chain and operations
• Partner with the other SCORe Tech DSR Leads to develop and oversee innovation/capability roadmaps to support strategic supply chain plans
• Bring transformational, innovative thinking to the SCORe team, creating and/or improving ways of working, products, sciences, tools and initiatives
• Develop and manage stakeholder relationships within 84.51° and Kroger to drive better decisions across the Supply Chain space
• Understand business priorities and project value to make prioritization decisions
• Partner with cross-functional leaders to ensure shared goals that enable delivery of science services and insights at scale
• Enable & manage a team of data scientists in delivering strategic objectives and work plans while developing their individual technical and business skills
Qualifications:
Required:
• 7+ years developing analytical solutions using advanced AI, Machine learning, and optimization methods
• 7+ years querying data from relational databases using SQL/Python to develop analytical solutions
• 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis
• Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
• Proficient in technology stack (Azure, Databricks, Python, Spark)
• Experience applying data science capabilities to supply chain and operations business problems
• Ability to work in a highly collaborative cross functional environment
• Comfort with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes
• Excellent interpersonal, collaboration, and communication skills
• Strong business acumen
• Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
• Strong analytical, creative problem-solving and decision-making skills
• Ability to create computationally efficient solutions
• Natural curiosity and passion around data, analysis and insights
• Welcomes and embraces change
• Ability to work fast yet accurately
• An openness and willingness to try new things and to fail
Preferred:
• Building stakeholder relationships at a senior level
• Internal or External client exposure and strong understanding of client’s business needs
• Ability to present technical solutions to non-technical audience
• Managing, recruiting, training, developing, coaching, inspiring and/or leading others
• Championing an inclusive culture and embracing 84.51° D&I initiatives
• Creating and/or improving large-scale processes or initiatives
• Leading Data Scientists through product life cycle and projects
• Independently creating solutions and solving open-ended and/or complex problems, analyzing both successes and failures
• Collaborating across all functions of 84.51°
• Providing direct, constructive feedback to peers and junior data scientists
• Making data-driven decisions and priority calls
• Clearly articulating their point-of-view
• Comfortability with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes
Company:
84.51° helps companies create sustainable growth by putting the customer at the center of everything. Founded in 2015, the company is headquartered in Cincinnati, USA, with a team of 1001-5000 employees. The company is currently Late Stage.