Data Scientist - Remote
Houston, TX · On-site +1
Data Scientist Location: Houston TX - Remote is ok Duration: 12 months Clients want a data ... data science, machine learning, and pipeline technologies. They explore new methodologies ...
Data Scientist - Remote
Houston, TX · On-site +1
Data Scientist Location: Houston TX - Remote is ok Duration: 12 months Clients want a data ... data science, machine learning, and pipeline technologies. They explore new methodologies ...
Data Science AI Engineer, Advisor
Houston, TX · On-site +1
$117K - $168K/yr
Master's or Ph.D in Computer Science, AI, Data Science, or a related field. * 5+ years of ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...
Data Science AI Engineer, Advisor
Houston, TX · On-site +1
$117K - $168K/yr
Master's or Ph.D in Computer Science, AI, Data Science, or a related field. * 5+ years of ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...
Senior Data Scientist
Spring, TX · On-site +1
This is a hybrid role requiring 3 days onsite, 2 days remote. Summary: Our client is seeking a Senior Data Scientist to design, build, and deploy scalable AI and machine learning solutions using the ...
Senior Data Scientist
Spring, TX · On-site +1
This is a hybrid role requiring 3 days onsite, 2 days remote. Summary: Our client is seeking a Senior Data Scientist to design, build, and deploy scalable AI and machine learning solutions using the ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
Senior Applied Scientist
Houston, TX · On-site +1
Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.
Senior Applied Scientist
Houston, TX · On-site +1
Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI--because companies hire teams, not single ...
Remote Data Science Internships information
What is the difference between Remote Data Science Internships vs Remote Data Analyst Internships?
| Aspect | Remote Data Science Internships | Remote Data Analyst Internships |
|---|---|---|
| Required Skills | Programming (Python, R), statistics, machine learning | Data visualization, SQL, basic statistics |
| Work Environment | Collaborative teams, research-focused | Business analysis, reporting |
| Industry Usage | Tech, finance, healthcare | Retail, marketing, finance |
Remote Data Science Internships focus on developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting. Both roles are remote, but they serve different functions within organizations, with data science being more technical and analytical, while data analysis centers on business insights.
What are popular job titles related to Remote Data Science Internships jobs in Spring, TX? For Remote Data Science Internships jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Internships jobs in Spring, TX look for? The top searched job categories for Remote Data Science Internships jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Science Internships jobs? Cities near Spring, TX with the most Remote Data Science Internships job openings:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
- Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
- Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
- Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
- Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
- Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
- Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
- Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
- Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
About NAVA Software Solutions
Sourced by ZipRecruiter
NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Rocky Hill, CT, US