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Remote Seismic Data Processing Jobs in Alabama (NOW HIRING)

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced ... Develop data pipelines and automate data processing workflows. * Collaborate with product managers ...

Earth Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

Earth Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

Earth Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

Earth Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

... processes, climate systems, and natural resources. Ability to explain the rock cycle, weather ... seismic data, and understanding watershed dynamics. Emphasizes observational skills and evidence ...

$60 - $73/hr

Remote SCHEDULE: Standard Business Hours PAY RANGE: $60-73, dependent on qualifications TYPE ... Lead and manage the data conversion process for EHR systems, ensuring timely and efficient ...

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Test Automation and Reconciliation Design automated reconciliation processes between source and ...

In order for your application to be correctly processed please sign-in before you apply Internal ... Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ...

In order for your application to be correctly processed please sign-in before you apply Internal ... Job Title IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote Requisition Number ...

$130K - $150K/yr

... processes, and enhance the organization's overall data protection posture. Who you are * You have ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

... processes, and enhance the organization's overall data protection posture. Who you are * You have ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Analyst, Mid

Huntsville, AL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245026 Location: Huntsville,AL,US Share job via: Share Data Analyst ... Work with us to help drive large-scale business and process decisions through data insights. Join ...

Maintains the support process and ensures that requests for support are handled according to the ... remote support in Data Center technologies. * Entry level experience in relevant technology.

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and run governance forums and decision-making processes to resolve data ownership ...

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and ...

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Remote Seismic Data Processing information

What are some common challenges faced by professionals in remote seismic data processing roles, and how can they be addressed?

One common challenge in remote seismic data processing is ensuring reliable data transfer and storage, as large volumes of seismic data must be securely transmitted and accessed remotely. Additionally, collaborating effectively with geophysicists and field teams can be more difficult without in-person interaction, so strong communication skills and familiarity with collaborative platforms are essential. Addressing these challenges involves establishing robust IT infrastructure, utilizing secure cloud services, and maintaining regular virtual meetings to ensure alignment and data integrity throughout the project lifecycle.

What is remote seismic data processing?

Remote seismic data processing is the analysis and interpretation of seismic data from a distance, often using cloud-based or remote-access software. This process involves collecting raw seismic signals, processing the data to remove noise, and generating subsurface images for applications such as oil and gas exploration or earthquake monitoring. Remote processing allows geophysicists and analysts to work from anywhere, increasing efficiency and collaboration across locations. It also enables companies to quickly scale resources and access specialized expertise without being onsite.

What are the key skills and qualifications needed to thrive as a remote seismic data processing specialist?

To excel in Remote Seismic Data Processing, you need a solid background in geophysics or a related field, with expertise in seismic data analysis and interpretation. Familiarity with specialized seismic processing software (such as ProMAX or SeisSpace), programming languages like Python or MATLAB, and sometimes relevant certifications, is often required. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities set top performers apart. These competencies ensure accurate data interpretation and effective teamwork, which are crucial for delivering reliable results in energy exploration and environmental studies.

What is the difference between Remote Seismic Data Processing vs Remote Geophysical Data Analysis?

AspectRemote Seismic Data ProcessingRemote Geophysical Data Analysis
CredentialsGeophysics degree, data processing certificationsGeophysics or related degree, analysis certifications
Work EnvironmentRemote, computer-based, specialized softwareRemote, data interpretation, software tools
Industry UsageOil & gas, mineral exploration, earthquake monitoringEnvironmental studies, resource exploration, hazard assessment

Remote Seismic Data Processing focuses on handling raw seismic data to prepare it for interpretation, while Remote Geophysical Data Analysis involves interpreting processed data to identify subsurface features. Both roles require geophysical knowledge and often overlap in industry applications, but processing emphasizes data preparation, whereas analysis emphasizes interpretation.

What are popular job titles related to Remote Seismic Data Processing jobs in Alabama? For Remote Seismic Data Processing jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Seismic Data Processing jobs in Alabama look for? The top searched job categories for Remote Seismic Data Processing jobs in Alabama are:
What cities in Alabama are hiring for Remote Seismic Data Processing jobs? Cities in Alabama with the most Remote Seismic Data Processing job openings:
Infographic showing various Remote Seismic Data Processing job openings in Alabama as of June 2026, with employment types broken down into 4% As Needed, 36% Full Time, 40% Part Time, 2% Temporary, 16% Contract, and 2% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 8 days ago


Job description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6–10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 – $170,000 per year (Based on experience and location)