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Remote Seismic Data Processing Geophysicist Jobs in Michigan

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

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

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

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

$79.50K - $105.20K/yr

Superior research, statistical, analytical, data processing and mathematical skills with ability to ... Please note we are hiring for this role remote anywhere in the United States with the following ...

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... application process due to a disability, please call 1-888-336-0660. #LI-Remote #LI-DS2 SG7-8 * ...

Customer Service Call Agent

Jackson, MI · Remote

$15.50 - $16.25/hr

... data processing experience · Experience in utilities, energy efficiency programs, or technical ... remote (work from home) · Structured, process-driven role with consistent daily tasks · ...

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Independently research and implement new tools, processes, and solutions * Explore and analyze ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

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Remote Seismic Data Processing Geophysicist information

What are the key skills and qualifications needed to thrive as a Remote Seismic Data Processing Geophysicist, and why are they important?

To thrive as a Remote Seismic Data Processing Geophysicist, you need a strong background in geophysics, seismic interpretation, and quantitative analysis, usually supported by a relevant degree such as geophysics, geology, or physics. Proficiency with seismic processing software (e.g., ProMAX, Petrel, or SeisSpace), programming languages (such as Python or MATLAB), and experience with remote collaboration tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in interpreting complex datasets and reporting findings to multidisciplinary teams. These skills ensure accurate seismic data analysis, efficient remote collaboration, and effective contribution to exploration or monitoring projects.

What are some common challenges faced by Remote Seismic Data Processing Geophysicists, and how can they be managed?

Remote Seismic Data Processing Geophysicists often encounter challenges such as managing large data sets, ensuring data quality, and troubleshooting processing software issues without on-site support. Effective communication with field teams and clients is crucial to clarify data requirements and resolve discrepancies quickly. Staying updated with the latest processing techniques and maintaining strong organizational skills help manage project deadlines and deliver accurate results. Collaboration tools and regular virtual meetings are commonly used to facilitate teamwork and overcome the limitations of remote work.

What does a Remote Seismic Data Processing Geophysicist do?

A Remote Seismic Data Processing Geophysicist specializes in analyzing seismic data, often from a remote location, to help interpret subsurface geological structures. They use advanced software and algorithms to process raw seismic signals collected during surveys, improving the quality and clarity of the data. Their work is crucial in industries such as oil and gas exploration, environmental studies, and earthquake research. By working remotely, they leverage digital tools to collaborate with teams and deliver results without being on-site.
What are the most commonly searched types of Seismic Data Processing Geophysicist jobs in Michigan? The most popular types of Seismic Data Processing Geophysicist jobs in Michigan are:
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Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 9 days ago


Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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