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Data Science Entry Jobs in Oklahoma (NOW HIRING)

Campus OSU-Center for Health Sciences Contact Name & Email Jamie Childers Jamie.Childers@okstate ... Experience with data entry, data coding, and data quality control is required. Skills ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Scan and/or data entry of specimen and patient information * Ensure all lab equipment is working ...

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Data Science Entry information

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$10

$17

$26

How much do data science entry jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science entry in Oklahoma is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $20.19 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

What cities in Oklahoma are hiring for Data Science Entry jobs?

Cities in Oklahoma with the most Data Science Entry job openings:

Infographic showing various Data Science Entry job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $37,399 per year, or $18 per hour.

Full-time

Re-posted 23 days ago


Job description

Firm Overview

Warwick Investment Group is a private equity firm focused on investing in real assets. With approximately $1.5 billion in managed assets and a growing team of professionals, Warwick combines industry expertise with innovative technology, data analytics, and machine learning to drive intelligent investment decisions and maximize asset value.

Data is embedded in every aspect of our business. We leverage extensive public and private datasets to identify opportunities, optimize asset management strategies, and continuously evaluate risk. This position offers a unique opportunity to work cross-functionally with multiple departments while expanding your knowledge of the oil and gas industry.

Position Overview:
The south Texas Development Geologist is responsible for optimizing horizontal drilling programs and field development on Warwick’s operated assets. This position integrates geologic and engineering data to identify high-quality landing zones, manage well spacing, and drive continuous improvement in field performance
The ideal candidate combines technical expertise in unconventional plays with strong cross-disciplinary communication skills and the ability to execute development plans efficiently in a fast-paced environment

Key Responsibilities:
Geologic Interpretation
•    Build/maintain maps of target formations in and around operated units.  This includes structure, isopach, OOIP/OGIP, GOR/phase/yield, BHP/Pgrad, etc.
•    Integrate all operated and non-operated data into subsurface interpretation such as geosteering interpretations
•    Have a good understanding of all uphole zones as potential geohazards to operations or upside potential.  Map zones as needed
•    Identify optimal landing zones and lateral targets for horizontal wells by studying offset wells.  Intimate knowledge of all horizontal wells on and around operated units is critical

Well Planning & Execution
•    Collaborate with geophysics, drilling, completions, and reservoir engineers (asset management team) to design and position horizontal wells within the asset
•    Work closely with Operations Geologist to build pre-drill SOP’s and well plans to use when executing geosteering in the lateral
•    Monitor geosteering efforts during drilling to ensure pre-drill plan is being executed effectively
•    Conduct post-drill evaluations and ensure all geologic data from operations is stored appropriately and integrated into interpretations effectively.  This also includes compiling offset well data as needed, working with the Land department to find ways to obtain

Reservoir Characterization & Data Integration
•    Utilize petrophysical and rock mechanical properties information to support completion design and frac planning
•    Work closely with data science and engineering teams to integrate production analytics and machine learning insights into geologic interpretation

Development Optimization
•    Work with engineering teams to assess well spacing and sequencing strategies for full-field development
•    Identify refrac, re-entry, and infill drilling opportunities based on reservoir performance
•    Support annual reserves booking processes

Collaboration & Communication
•    Present geologic interpretations, risk assessments, and drilling recommendations to management and Investment Committee
•    Participate in interdisciplinary team meetings and asset reviews
•    Maintain and manage geological databases, ensuring accuracy and accessibility for cross-functional teams
•    Collaborate with finance/investment team members
 

Qualifications:
Education:
•    Bachelor’s degree in Geology, Geoscience, or Earth Science required
•    Master’s degree with a focus in sedimentology/stratigraphy, petroleum geology or structural geology preferred

Experience:
•    5+ years of experience in oil and gas development geology, with at least 3 years in unconventional shale plays
•    Experience in South Texas (Eagle Ford/Austin Chalk) is strongly preferred

Technical Skills:
•    Proficiency in geologic software (Geographix preferred) and/or Geosteering/well planning software (ROGII’s StarSteer strongly preferred)
•    Knowledge of geosteering operations and mud log data interpretation 
•    Familiarity with seismic data interpretation
•    Understanding of geomechanics, frac gradients and completions-related data
•    Familiarity with Spotfire or data visualization platforms for trend analysis and production data integration
•    Experience with machine learning applications in geoscience or real-time drilling analytics preferred

Soft Skills:
•    Strong communication and collaboration skills across technical and operational teams
•    Analytical thinker with attention to detail, a results-driven mindset and organized