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Remote Retail Data Systems Jobs in Texas (NOW HIRING)

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · On-site +1

... systems. - Collaborate with clinicians, data scientists, and AI engineers to translate knowledge ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... systems. - Collaborate with clinicians, data scientists, and AI engineers to translate knowledge ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

NTT DATA Services

Ontology Expert - Remote

Dallas, TX · Remote

... systems. - Collaborate with clinicians, data scientists, and AI engineers to translate knowledge ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you ...

YO AI Labs

AI Consulting Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

... AI systems. In this role, you will evaluate, review, and refine AI-generated business content ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Scanning Solutions

Data Quality Analyst

League City, TX · Remote

$28 - $39/hr

... a remote position. Scanning Solutions is seeking a detail-oriented Data Quality Analyst to support the accuracy, consistency, completeness, and reliability of business data across company systems.

YO AI Labs

AI Consulting Expert - Remote

Austin, TX · Remote

$100 - $200/hr

... AI systems. In this role, you will evaluate, review, and refine AI-generated business content ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

YO AI Labs

AI Consulting Expert - Remote

Houston, TX · Remote

$100 - $200/hr

... AI systems. In this role, you will evaluate, review, and refine AI-generated business content ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

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Showing results 21-40

All JobsRetail Data Systems JobsRemote Retail Data Systems JobsRemote Retail Data Systems Jobs in Texas

Remote Retail Data Systems information

What is the difference between Remote Retail Data Systems vs Remote Retail Data Analysts?

AspectRemote Retail Data SystemsRemote Retail Data Analysts
CredentialsTypically requires knowledge of data management, retail systems, and sometimes certifications in data or retail softwareRequires analytical skills, proficiency in data analysis tools, and often a degree in data science, statistics, or related fields
Work EnvironmentFocuses on managing retail data systems, software configuration, and data integrity remotelyInvolves analyzing retail data, generating reports, and providing insights remotely
Industry UsageUsed by retail companies to maintain and optimize data systemsEmployed by retail firms to interpret data and support decision-making

Remote Retail Data Systems professionals focus on managing and maintaining retail data infrastructure, while Remote Retail Data Analysts interpret data to inform business strategies. Both roles are essential in retail data management but differ in their primary functions and skill sets.

What are the most commonly searched types of Retail Data Systems jobs in Texas?

The most popular types of Retail Data Systems jobs in Texas are:

What are popular job titles related to Remote Retail Data Systems jobs in Texas?

For Remote Retail Data Systems jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Retail Data Systems jobs in Texas look for?

The top searched job categories for Remote Retail Data Systems jobs in Texas are:

What cities in Texas are hiring for Remote Retail Data Systems jobs?

Cities in Texas with the most Remote Retail Data Systems job openings:

Remote Retail Data Systems jobs near you
Infographic showing various Remote Retail Data Systems job openings in Texas as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 5% Contract, and 2% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 23 days ago

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:
  • 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.
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About NAVA Software Solutions

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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

Social media

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