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Remote Health Data Scientist Jobs in Texas (NOW HIRING)

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

... challenge, and a healthy work-life balance can be highly motivating and productive. Kemper ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ... entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel ...

The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

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Remote Health Data Scientist information

What is the difference between Remote Health Data Scientist vs Remote Healthcare Data Analyst?

AspectRemote Health Data ScientistRemote Healthcare Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skillsDegree in Health Informatics, Data Analysis, or related; may require similar certifications
Work EnvironmentCollaborates with research teams, healthcare providers, and tech teams; often in research or tech companiesWorks with healthcare organizations, insurance companies, or clinics; focuses on data reporting and insights
Employer & Industry UsageUsed in research, biotech, health tech startups, and hospitalsCommon in hospitals, insurance firms, and healthcare consulting

While both roles involve analyzing healthcare data, Remote Health Data Scientists focus on developing predictive models and advanced analytics, whereas Remote Healthcare Data Analysts primarily interpret existing data to generate reports and insights. The roles often overlap but differ in technical depth and project scope.

What are the most commonly searched types of Health Data Scientist jobs in Texas?

The most popular types of Health Data Scientist jobs in Texas are:

What cities in Texas are hiring for Remote Health Data Scientist jobs?

Cities in Texas with the most Remote Health Data Scientist job openings:

Infographic showing various Remote Health Data Scientist job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 22 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

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

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