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Overnight Python Data Science Jobs in Oklahoma (NOW HIRING)

Experience with Python, R, SQL, and advanced Excel * Experience with data modeling, predictive ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

Experience with Python, R, SQL, and advanced Excel * Experience with data modeling, predictive ... Bachelor's degree in Mathematics, Statistics, Computer Science, or related field. * 2-3 years of ...

... data science, biomedical engineering, or a related field (degree must be conferred on or before agreed upon start date) * Experience with quantitative data analysis (Python and/or R) * Experience ...

Data & AI Engineer

Bartlesville, OK · On-site

$98.30K - $118K/yr

Design and implement data manipulation pipelines using scripting languages like Python and SQL for ... Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of ...

Data & AI Engineer

Bartlesville, OK

$98.30K - $118K/yr

Design and implement data manipulation pipelines using scripting languages like Python and SQL for ... Bachelor's degree in Data Science, Computer Science, or related technical field. * 5+ years of ...

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Overnight Python Data Science information

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 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 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 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 Oklahoma? The most popular types of Python Data Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Overnight Python Data Science jobs? Cities in Oklahoma with the most Overnight Python Data Science job openings:
Workforce Data Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 763 frontline employees who took The Breakroom Quiz

389th of 712 rated retailers


Job description

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) – 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *

Welcome to Love's: Love’s is seeking a highly analytical and strategic Workforce Analyst to join our Workforce Management team. This role is ideal for someone who thrives at the intersection of HR, Operations and data, and who can turn workforce data into actionable insights that drive business decisions. In this role, you will work closely with HR, Operations, IT & Finance to optimize workforce planning, improve employee experience, and support strategic initiatives.

Job Functions: 

  • Analyze workforce data to identify trends, risks, and opportunities
  • Develop and maintain interactive dashboards and reports using visualization tools for HR, Operations and executive stakeholders
  • Design and implement data models to support scalable analytics solutions
  • Utilize engineered labor standards to help make informed decisions
  • Collaborate with cross-functional teams to define KPIs and build predictive models for attrition, hiring, and productivity
  • Automate data pipelines and reporting processes to improve efficiency and accuracy
  • Translate complex data findings into clear, actionable recommendations for leadership
  • Ensure data integrity, security, and compliance with relevant regulations and internal policy

 

Qualifications and Experience:

  • Bachelor’s in Data Science, Statistics, Business Analytics, Computer Science, or related field
  • 2-3 years of experience in workforce analytics, HR data science, HRIS, UKG Pro Analyst, UKG Pro Reporting Analyst, HR data analyst, WFM analyst, or a related role
  • Hands-on experience with UKG Pro, including dataviews, data extraction and reporting
  • Proficiency in Power BI for data visualization and dashboard development
  • Strong SQL skills and experience working with Snowflake or similar cloud data platforms
  • Excellent communication skills with the ability to present insights to non-technical audiences
  • Knowledge of HR metrics, operations business function and expectations, workforce planning, and organizational behavior
  • Experience with Python or R for statistical analysis and machine learning
  • Familiarity with other HR systems
  • Understanding of compensation, benefits, and talent management data and how it ties into workforce panning and modelin

This position is located at Love's corporate office in Oklahoma City.

Must be authorized to work in the U.S. without sponsorship

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.


What Love's Travel Stops employees say

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