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Freelance Geoscience Data Analyst Jobs (NOW HIRING)

This role involves defining technical directions for AI solutions, transforming geoscience data ... analysis, and information extraction capabilities. • Build entity resolution processes aligned ...

We are seeking Completions Jr. Data Analysts located in Houston to provide part of the 24/7 ... Four-year college degree (petroleum engineering, geology, geoscience, any engineering preferred)

Data Analysts play a crucial role in helping businesses make informed decisions about their ... Successful candidates for freelancer opportunities will not be considered employees of The Procter ...

HR Data Analyst

Coppell, TX · On-site

$25 - $30/hr

Our client is seeking a Data Analyst to join the People Insights & Analytics team. This role will ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Education: • Bachelor's Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting, Geoscience ...

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Freelance Geoscience Data Analyst information

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$13

$32

$61

How much do freelance geoscience data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance geoscience data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Geoscience Data Analyst vs Geoscience Data Technician?

AspectFreelance Geoscience Data AnalystGeoscience Data Technician
CredentialsTypically requires a degree in geoscience, geology, or related field; certifications are a plusUsually requires an associate or bachelor's degree in geoscience or related field
Work EnvironmentIndependent, remote or client-site work, project-basedLaboratory, field, or office settings, often employed by organizations
Employer & Industry UsageFreelance consultants serving multiple clients in oil & gas, environmental, or mining sectorsEmployed by companies or labs to process and manage geoscience data

The main difference is that Freelance Geoscience Data Analysts work independently on various projects, often remotely, while Geoscience Data Technicians are typically employed by organizations to handle data collection and processing. Freelance analysts have more flexibility and diverse clients, whereas technicians focus on data management within a specific employer setting.

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What cities are hiring for Freelance Geoscience Data Analyst jobs?

Cities with the most Freelance Geoscience Data Analyst job openings:

What are the most commonly searched types of Geoscience Data Analyst jobs?

The most popular types of Geoscience Data Analyst jobs are:

What states have the most Freelance Geoscience Data Analyst jobs?

States with the most job openings for Freelance Geoscience Data Analyst jobs include:

Infographic showing various Freelance Geoscience Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Head of Applied AI Products

Viridien

Houston, TX • On-site

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Viridien is an advanced technology company focused on digital and Earth data, seeking a Head of Applied AI Products to lead the design and development of their AI-native product ecosystem. This role involves defining technical directions for AI solutions, transforming geoscience data into structured knowledge systems, and ensuring the delivery of innovative AI-driven capabilities aligned with the company's strategic goals.
Responsibilities:
• Define and own the AI product architecture and technical product roadmap.
• Translate emerging AI capabilities into scalable product architectures and user experiences.
• Establish best practices for building reliable, observable, and debuggable LLM-powered systems.
• Design and improve end-to-end AI pipelines.
• Develop document ingestion, layout analysis, and information extraction capabilities.
• Build entity resolution processes aligned with standardized domain databases.
• Implement table understanding and schema normalization into predefined data schemas.
• Design and implement advanced analytics capabilities.
• Develop domain-specific machine learning models in collaboration with subject matter experts.
• Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools.
• Lead the development of AI-native applications and tools.
• Implement tool-calling and orchestration frameworks for domain-specific software.
• Develop data analysis and integration systems.
• Implement human-in-the-loop validation and feedback mechanisms.
• Prototype core systems to validate feasibility and guide implementation.
• Partner with engineering teams to review designs and ensure strong technical architecture.
• Drive the transition from experimental AI capabilities to scalable production systems.
Qualifications:
Required:
• Strong engineering background (ML engineering, MLOps engineer, or equivalent).
• Proven experience building complex systems from 0→1.
• Ability to independently write production-quality code and build functional prototypes.
• Practical experience with LLM application architectures (e.g., RAG, agents, workflows, tool calling).
• Solid understanding of data pipelines, system design, and service-oriented architectures.
• Product-minded: able to reason about user value, tradeoffs, and adoption—not only implementation.
• Comfortable operating in high-ambiguity, fast-evolving technical environments.
Company:
Viridien is a leader in cutting-edge geoscience. Founded in 1931, the company is headquartered in Paris, FRA, with a team of 1001-5000 employees. The company is currently Late Stage.