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Data Science In Oil Gas Jobs in Springfield, VA (NOW HIRING)

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 6 years of ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 6 years of ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

Bachelor's degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree Nice If You Have: * Experience working with GEOINT, HUMINT, MASINT, OSINT ...

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Individuals interested in this role will provide Data Science subject matter expertise and be essential in the programs modernization through prioritization of data-based decision making.

Data Scientist, Mid

Lorton, VA · On-site

$99K - $225K/yr

... in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then ...

Bachelor's degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree Nice If You Have: * Experience working with GEOINT, HUMINT, MASINT, OSINT ...

Data Scientist, Mid

Potomac, MD · On-site

$99K - $225K/yr

... in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then ...

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Showing results 1-20

Data Science In Oil Gas information

See Springfield, VA salary details

$39.2K

$128.2K

$205.3K

How much do data science in oil gas jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data science in oil gas in Springfield, VA is $128,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Science In Oil Gas vs Petroleum Engineer?

AspectData Science In Oil GasPetroleum Engineer
Required CredentialsDegree in Data Science, Computer Science, or related fields; proficiency in programming and analytics toolsDegree in Petroleum Engineering or related engineering fields; engineering licenses may be required
Work EnvironmentOffice settings, data centers, or remote; focus on data analysis and modelingFieldwork and office; focus on drilling, reservoir management, and production
Industry UsageAnalyzing exploration data, optimizing production, predictive maintenanceDesigning drilling operations, reservoir evaluation, and production strategies

While both roles operate within the oil and gas industry, Data Science In Oil Gas primarily focuses on data analysis, modeling, and predictive analytics to optimize operations. Petroleum Engineers are more involved in designing and implementing physical extraction processes. Both roles require industry-specific knowledge but differ significantly in their daily tasks and skill sets.

What are popular job titles related to Data Science In Oil Gas jobs in Springfield, VA? For Data Science In Oil Gas jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Data Science In Oil Gas jobs in Springfield, VA look for? The top searched job categories for Data Science In Oil Gas jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Data Science In Oil Gas jobs? Cities near Springfield, VA with the most Data Science In Oil Gas job openings:
Data Scientist

$165K - $210K/yr

Full-time

Re-posted 7 days ago


Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)


What will you do?
A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide future work and be confident to present information to decision makers. The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist experience level descriptions and qualifications are listed below.
 
Data Scientist, Level 2 (Intermediate) Functional Description: In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May use machine learning and statistical approaches based on the analysis of the dataset. May prepare visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct and/or support data engineering and data management. May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science techniques for cybersecurity solutions. May adjust and create machine learning and statistical approaches based on the analysis of the dataset. May analyze visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. 
 
Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in Level 2, the Data Scientist Level 3 is responsible for overseeing data science techniques for cybersecurity solutions. May lead teams to extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May advise machine learning and statistical approaches based on the analysis of the dataset. May present visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May spearhead data engineering and data management. May advise appropriate analytical approaches towards automation. Establishes requirements for data science cybersecurity approaches. 
 
 

Do you have what it takes?
Requirements:
All positions require: TS/SCI with Poly
 
Level 2 Data Scientist:
  • Data Scientist Level 2 Qualifications: Bachelor's degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:

  • Data Scientist Level 3 Qualifications: Bachelor's degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies

Pay Range: VTG’s estimated starting pay range is $165,000 - $210,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Qualifications:
Requirements:
All positions require: TS/SCI with Poly
 
Level 2 Data Scientist:
  • Data Scientist Level 2 Qualifications: Bachelor's degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:

  • Data Scientist Level 3 Qualifications: Bachelor's degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies
Education:UNAVAILABLEEmployment Type: FULL_TIME