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Overnight Python Data Science Jobs in Oklahoma (NOW HIRING)

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Principal Software Engineer (Python)

Oklahoma City, OK · On-site +1

$125K - $168K/yr

Partner with the Data Science team to architect intelligent routing logic that leverages Small ... Expert Python/FastAPI Developer: Proven experience in designing, scaling, and maintaining existing ...

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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 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:

Overnight Python Data Science jobs near you

Geoscience Data Analyst (56744)

Oklahoma City, OK • On-site

Riley Permian
201 - 500 employees
Learn more about Riley Permianexternal

Other

Posted 9 days ago

Key responsibilities

  • Support geoscience and asset teams by maintaining high-quality subsurface datasets, project databases, and technical workflows.

  • Load, validate, organize, and quality-control subsurface datasets while developing repeatable workflows to improve data accessibility and operational efficiency.

  • Partner with geologists, engineers, and data resources to integrate datasets into analytical workflows and develop data products, dashboards, and AI-enabled tools.

Job description

Job Details

Job Location: OKC Office - Oklahoma City, OK 73104

Position Type: Full Time

Position Summary

Performs advanced geoscience technical and data science work supporting asset teams by combining subsurface data expertise, workflow development, and advanced analytics capabilities. This role bridges traditional geotechnical functions with modern data science to improve data quality, workflow efficiency, and technical decision-making. This position is expected to work independently, resolve complex technical challenges, and contribute to the development of scalable workflows and best practices.

Responsibilities
  • Support Riley Permian’s geoscience and asset teams by maintaining high -quality subsurface datasets, project databases, and technical workflows used in exploration, development, and A&D evaluation.
  • Load, validate, organize, and quality-control subsurface datasets while developing repeatable workflows that improve data accessibility, consistency, and operational efficiency.
  • Maintain and improve geoscience project environments, including GeoGraphix, StarSteer, QGIS, and other subsurface interpretation or planning tools, with an emphasis on data integrity, usability, and workflow efficiency.
  • Partner with geologists, engineers, and data/analytics resources to integrate subsurface, operational, production, and commercial datasets into practical analytical workflows.
  • Apply data science, automation, and AI/ML techniques to improve geoscience workflows, enhance data quality, identify subsurface trends, and support technical decision-making.
  • Develop data products, dashboards, analytical tools, and AI -enabled knowledge workflows that improve technical analysis, information retrieval, and communication across asset teams.
  • Identify opportunities to improve data quality, automate recurring tasks, establish workflow standards, documentation, and best practices that support scalable geoscience operations.
  • Assist with preparation of technical data, exhibits, cross sections, logs, data summaries, and presentation-quality visuals for internal asset reviews, management discussions, partner meetings, and transaction support.
  • Work closely with geologists, engineers, land, business development, and management while remaining primarily embedded with and focused on geoscience team execution.
  • Collaborate across teams and disciplines with a strong service mindset, clear communication, and a practical focus on improving the speed, quality, and reliability of geoscience work.
Skills and Competencies
  • Understanding of unconventional resource plays, horizontal development, landing -zone evaluation, well performance trends, and asset-development workflows.
  • Ability to bridge traditional geoscience technician responsibilities with modern data science, automation, AI/ML workflows, and emerging technologies such as GenAI, prompt engineering, RAG, and AI-enabled technical assistants
  • Experience using modern analytics tools to develop dashboards, automated reports, visualizations, and analytical solutions that support upstream decision-making.
  • Familiarity with industry data sources such as IHS, Enverus, regulatory databases, vendor data rooms, and third-party technical datasets.
  • Strong analytical, problem-solving, organizational, and communication skills, with the ability to collaborate effectively across technical and business teams.
  • Self-motivated and highly organized, with the ability to manage multiple priorities, adapt to new technologies and workflows, and deliver high-quality work in a fast-moving asset-team environment.
Qualifications
  • Bachelor’s degree in geology, geoscience, engineering, data science, computer science, information systems, or a related technical field preferred; equivalent petroleum industry experience will be considered.
  • 5+ years of relevant experience in geoscience technical support, subsurface data management, geotechnical workflows, petroleum data analytics, or related oil and gas technical roles preferred.
  • Strong working knowledge of subsurface datasets, including well headers, directional surveys, formation tops, raster/vector logs, digital log curves, completion data, production data, seismic-related data, and interpretation outputs.
  • Experience supporting geoscience teams using subsurface applications such as GeoGraphix, Petra, Petrel, Kingdom, StarSteer, Techlog, or similar petroleum technical software.
  • Demonstrated ability to load, validate, reconcile, and maintain technical data across multiple systems while developing practical workflows, QA/QC standards, and technical outputs that support geoscience and engineering objectives.
  • Experience applying AI/ML, GenAI, automation, analytics, Python, SQL, and related technologies to support data-driven solutions.
  • Strong analytical and problem-solving skills with the ability to troubleshoot data issues, identify root causes, and recommend practical workflow improvements.
  • Strong knowledge of subsurface datasets, including well, log, production, completion, seismic, and interpretation data.
  • Experience with petroleum software such as GeoGraphix, Petra, Petrel, Kingdom, StarSteer, Techlog, or similar platforms.
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