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

Data Science Tutor

Miramar, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL ...

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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 are popular job titles related to Data Science In Oil Gas jobs in Florida? For Data Science In Oil Gas jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Science In Oil Gas jobs in Florida look for? The top searched job categories for Data Science In Oil Gas jobs in Florida are:
What cities in Florida are hiring for Data Science In Oil Gas jobs? Cities in Florida with the most Data Science In Oil Gas job openings:
Information Technology_USA - USA_Developer

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 11 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CANDIDATEBEELINEID
i.e. PTN_US_9999999_SKIPJOHNSON0413
/hr
MSP Owner: Felix Avalos
Location:~Houston, TX~
Duration: 6 months
skill id: 10751060
Robotics - Actin Development Engineer
• Must have 6 to 7 years of strong Angular experience.
• Must have hands-on working Knowledge of Actin
• Must have hands-on working Knowledge of Energid robotic control software -
• Proficiency/knowledge in programming languages such as Python, C++, and ROS.
• Strong understanding of control systems, kinematics, and embedded systems.
• Familiarity with sensors used in oil & gas robotics (e.g., ultrasonic, inductive proximity, LiDAR,
pressure).
• Ability to work in field conditions and travel to remote sites as needed.
• Hands-on Knowledge of ROS Industrial 2.0, RViz, MoveIt, etc.
Roles & Responsibilities
• Design and develop robotic systems tailored for oil & gas drilling and pipe-handling applications.
• Integrate sensors and control systems for autonomous drilling and pipe-handling, manipulation,
and data acquisition.
• Collaborate with cross-disciplinary teams to prototype and test robotic control solutions for drilling and
pipe-handling operations.
• Develop software for real-time control, telemetry, and remote operation of robotic platforms.
• Conduct field trials and validation tests in simulated and live oil & gas environments.
• Ensure compliance with industry safety standards and environmental regulations.
• Analyze performance data and optimize robotic systems for safety, reliability and efficiency.
• Document engineering processes, test results, and system configurations., Project Code :