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Data Science In Oil Gas Jobs in Texas (NOW HIRING)

... degree in engineering, geology, environmental science, business or related field or equivalent ... Strong understanding of oil and gas project delivery methods and procurement processes.

Familiarity with Oil & Gas or Property & Casualty insurance concepts is a plus Education Requirement Master's degree in data science, analytics, statistics, computer science, engineering, or related ...

Familiarity with Oil & Gas or Property & Casualty insurance concepts is a plus Education Requirement Master's degree in data science, analytics, statistics, computer science, engineering, or related ...

Maintain up-to-date knowledge of developments in oil and gas law, title practices, and industry market trends; contribute to client development and training within the firm or company. Qualifications

... in Texas and any other State needed. * Compile the data and support needed for the Colorado Tax ... Audits oil and gas revenue weekly to identify any ineligible deductions. Determines which ...

This role is perfect for a dedicated legal professional with a strong background in oil and gas law, specifically in writing title opinions for properties in West Virginia, Ohio, and/or Pennsylvania.

This role is perfect for a dedicated legal professional with a strong background in oil and gas law, specifically in writing title opinions for properties in West Virginia, Ohio, and/or Pennsylvania.

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Data Science In Oil Gas information

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 job categories do people searching Data Science In Oil Gas jobs in Texas look for? The top searched job categories for Data Science In Oil Gas jobs in Texas are:
What cities in Texas are hiring for Data Science In Oil Gas jobs? Cities in Texas with the most Data Science In Oil Gas job openings:
(US) Sales Director - Oil & Gas (New Business Development)

(US) Sales Director - Oil & Gas (New Business Development)

Codvo.ai

Texas, IL

Full-time

Re-posted 25 days ago


Job description

Sales Director - Oil & Gas
Location: Houston, TX
Experience: 15-20 Years Total Selling Experience, including 10+ Years Selling into Oil & Gas
 
Company Overview
Codvo is a global empathy-led technology services company where software engineering excellence and human-centered innovation come together. Our mission is to accelerate our clients' digital transformation through world-class design, cloud engineering, data modernization, digital engineering, and enterprise AI.
As we deepen our focus on the Oil & Gas sector, we partner with upstream, midstream, downstream, LNG, chemical, and pipeline operators to unlock measurable value across their digital and AI transformation journeys.
 
What You'll Do
 
Drive New Business Growth in Oil & Gas:
           Lead the energy-sector GTM strategy with a clear expectation to build $8-10M in qualified pipeline and close $3-4M in new revenue annually.
           Shape, pitch, and close digital transformation and AI-driven modernization programs.
 
Engage and Influence Senior Energy Leaders:
           Build deep relationships with CIOs, CTOs, VPs of Digital/Data/AI, Operations, Maintenance, Supply Chain, and Plant/Field leaders.
           Position our offerings as enablers of operational efficiency, reliability, safety, and business growth.
 
Run High-Discipline Sales Operations:
           Drive structured sales cadences - deal reviews, forecasting, pipeline hygiene, win strategies, and qualification rigor.
 
Lead & Coach Presales Team:
           Mentor presales consultants on Oil & Gas enterprise selling, consultative techniques, and multi-stakeholder deal orchestration.
 
Cross-Functional Collaboration:
           Partner with Presales, Delivery, Marketing, Product, TA, and Engagement teams to shape winning solutions and proposals.
 
AI, Agentic, and Data Solution Selling Expertise (Required)
           Significant experience selling AI/ML, GenAI, Agentic AI, MLOps, Data Engineering, Data Platforms, and Digital Twin solutions.
           Skilled at AI consultative selling, opportunity discovery, value engineering, AI readiness, and business case development.
           Ability to speak with both technical and business stakeholders about AI adoption, governance, guardrails, and ROI.
           Experience shaping AI programs for operational reliability, predictive maintenance, supply-chain optimization, and workforce augmentation.
 
Partner-Driven Sales & Alliance-Led Growth (Required)
           Strong relationships across AWS, Microsoft Azure, Google Cloud, Databricks, Red Hat, Snowflake, NVIDIA, and other ISVs.
           Experience executing co-selling motions, marketplace selling, joint account planning, and partner-aligned GTM activities.
           Ability to influence partner teams to prioritize Codvo solutions in territory plans and industry-focused engagements.
 
Ideal Candidate Profile
 
Industry Expertise:
           15-20 years total enterprise selling experience with consistent quota achievement.
           10+ years selling into Oil & Gas across upstream, midstream, downstream, petrochemical, pipeline, and OEMs.
           Deep domain knowledge of energy-sector digital transformation priorities.
 
Sales Leadership & Execution:
           Strong track record of closing large, multi-stakeholder enterprise deals.
 
Operational Excellence:
           Rigor around pipeline management, forecasting, and disciplined sales execution.
 
People Leadership:
           Coaching experience and ability to build high-performing teams.
 
Executive Presence:
           Ability to influence senior executives and steer strategic conversations.
 
Customer-Centric:
           Deep understanding of how data and AI solutions drive measurable outcomes in the energy sector.
 
Growth Mindset:
           Entrepreneurial, adaptable, and comfortable building a vertical from the ground up.
 
Education:
           BA/BS required; MBA preferred.
Employment Type: FULL_TIME