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Overnight Python Data Science Jobs in Wisconsin (NOW HIRING)

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Proficiency in Python, with a strong emphasis on data manipulation and analysis using libraries ... Demonstration of previous data science projects is preferred * Strong interpersonal skills and ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... R, Python, SQL). * Experience on using the cloud platform (ex Azure, AWS..) * Experience with ...

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide day ...

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

WI · On-site

$120 - $160/hr

Relevant experience required includes designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

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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 Wisconsin?

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

$30/hr

Part-time

Posted 2 days ago

New


Job description

Hourley Wage: $30.00

PURPOSE: The Energy Data Science Intern will support strategic decision making by increasing data accessibility, performing statistical analysis, building predictive models, and providing actionable insights. This position advances all DPC's strategic priorities, but most notably our commitment to financial strength, growth & innovation, and our safety culture.

ESSENTIAL JOB FUNCTIONS:

Build, test and document data pipelines that ingest, transform and deliver data for analysis and reporting. Assist with integrating APIs, databases, enterprise applications and external data sources into Dairyland Power Cooperative's cloud-based Lakehouse environment. Clean, validate and organize energy and business data to improve reliability and accessibility. Perform statistical analysis to identify trends, quantify uncertainty and support business decisions. Develop and evaluate machine learning models for defined business applications. Support model deployment, validation, performance monitoring and ongoing improvement. Translate business questions into quantitative analyses. Present findings, assumptions and recommendations clearly to technical and nontechnical audiences. Create technical documentation for data sources, pipelines, models and analytical methods. Perform other duties as assigned.

MINIMUM QUALIFICATIONS:

Education & Experience: Currently pursuing either an undergraduate or graduate degree in data science, statistics, mathematics, artificial intelligence, computer science, or another related field.

Skills:

  • Experience using at least one scientific computing language, preferably Python

  • Foundational knowledge of data structures, statistical analysis and relational databases

  • Strong analytical, problem-solving and organizational skills

  • Strong verbal, written and interpersonal communication skills

  • Ability to work independently.

PREFERRED QUALIFICATIONS:

  • Experience with SQL and data modeling

  • Experience building data pipelines or integrating APIs

  • Familiarity with Microsoft Fabric, AWS or another cloud data platform

  • Familiarity with machine learning model development, validation, and deployment

  • Experience with Power BI or another data visualization tool

  • Experience using Git or another version control system

Licenses and Certifications:Valid Driver's License

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Environmental Demands: Normal work schedule is indoors.

Other Job Characteristics: Travel required, occasionally overnight. Works with limited supervision in a variably paced, variable pressure setting. Handles multiple priorities.