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Remote Data Strategy Jobs in Texas (NOW HIRING)

VP, Customer Retention & Loyalty

Dallas, TX ยท On-site +1

$137K - $175K/yr

This position would be remote for qualifying candidates residing outside of this area. What you'll ... Customer IQ & Data Strategy * Define how Customer IQ enrichment data and insights, Mortgage Inquiry ...

Data Architect

Dallas, TX ยท On-site +1

$63 - $81/hr

Improve indexing and metadata strategies that support dataset search and discovery. * Enable ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

... that drive strategic planning. The ideal candidate will have a strong analytical background ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Collaborate with cross-functional teams to implement data-driven strategies that optimize project ...

Ataccama Solution Architect

Dallas, TX ยท On-site +1

$93K/yr

Locations USA Local Candidate - Remote or Dallas TX About the job you're considering Senior MDM ... Proven ability to lead enterprise-wide MDM and Data Governance programs from strategy and ...

... strategy. NTT DATA currently seeks a Remote Medical Claims Representative to join our team in for a remote position. This is a US based, W-2 project. All candidates will be paid through NTT DATA only.

... strategy. NTT DATA currently seeks a Remote Medical Claims Representative to join our team in for a remote position. This is a US based, W-2 project. All candidates will be paid through NTT DATA only.

Comfort using data, customer health signals, and AI-enabled tools to understand account health and ... Remote work means more time with family, less time commuting, and the flexibility to blend work and ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Showing results 21-40

Remote Data Strategy information

What is the difference between Remote Data Strategy vs Remote Data Analyst?

AspectRemote Data StrategyRemote Data Analyst
Required CredentialsData-related certifications, such as CDMP or CBIP, and strategic planning skillsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentFocus on developing data strategies, policies, and high-level planning remotelyAnalyze data sets, generate reports, and support decision-making remotely
Employer & Industry UsageUsed in organizations to shape data initiatives and policies across departmentsEmployed in various industries to interpret data and provide insights

Remote Data Strategy professionals focus on creating data policies and strategic plans, while Remote Data Analysts interpret data to support business decisions. Both roles often work remotely and require data-related skills, but their core responsibilities differ significantly.

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

The most popular types of Data Strategy jobs in Texas are:

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

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

What cities in Texas are hiring for Remote Data Strategy jobs?

Cities in Texas with the most Remote Data Strategy job openings:

Infographic showing various Remote Data Strategy job openings in Texas as of August 2026, with employment types broken down into 2% Internship, 77% Full Time, 10% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Scientist - Remote

Houston, TX โ€ข On-site, Remote

NAVA Software Solutions
IT Servicesย โ€ขย 51 - 200 employees

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Key responsibilities

  • Develop machine learning models to run forecast scenarios.

  • Analyze data related to physical pipelines, including performance metrics and sensor data.

  • Create visualizations, reports, and dashboards to communicate findings and recommendations.


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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