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Remote Innovation Scientist Jobs in Houston, TX (NOW HIRING)

Bachelor's in CIS, Computer Science, Business Analytics or Engineering (any field) and 4 years of ... 20% remote work permitted). 10% domestic business travel to California and other domestic work ...

Project Accountant - Remote

Houston, TX · Remote

$58K - $76K/yr

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... For over 50 years, we have been at the forefront of innovation and sustainability. Today we stand ...

Project Accountant - Remote

Houston, TX · On-site +1

$58K - $76K/yr

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... For over 50 years, we have been at the forefront of innovation and sustainability. Today we stand ...

Channel Sales Manager

Houston, TX · Remote

$145K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... With a culture rooted in customer focus, innovation, and teamwork, we lead the market in microscopy ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Join us in building a more sustainable world through the power of AI and scientific innovation ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

Join us in building a more sustainable world through the power of AI and scientific innovation ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Join us in building a more sustainable world through the power of AI and scientific innovation ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... accelerate innovation and improve patient outcomes. Our mission is to combine data science and ...

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Showing results 1-20

Remote Innovation Scientist information

See Houston, TX salary details

$79.7K

$121.3K

$163.3K

How much do remote innovation scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote innovation scientist in Houston, TX is $121,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a remote innovation scientist?

A Remote Innovation Scientist is a professional who researches, develops, and implements new ideas or technologies for a company while working remotely. They often collaborate with teams virtually to create innovative solutions, improve products, or optimize processes. Their role involves staying updated on the latest scientific trends, conducting experiments, and analyzing data to drive innovation. This position requires strong problem-solving skills, creativity, and effective communication, as much of the work and collaboration is done online.

How does a remote innovation scientist typically collaborate with cross-functional teams despite working remotely?

Remote Innovation Scientists frequently use digital collaboration tools such as video conferencing, project management platforms, and cloud-based document sharing to maintain close communication with colleagues in R&D, marketing, and product development. Regular virtual meetings, brainstorming sessions, and status updates are standard practices to ensure alignment and share progress on innovative projects. Effective time management and proactive communication are crucial for overcoming challenges related to time zone differences and building strong, productive relationships with diverse team members.

What are the key skills and qualifications needed to thrive as a remote innovation scientist, and why are they important?

To thrive as a Remote Innovation Scientist, you need a strong background in scientific research, creativity in problem-solving, and advanced degrees (such as a Ph.D.) in a relevant field. Familiarity with data analysis software, collaboration tools, and patent or intellectual property systems is typically required. Exceptional communication, self-motivation, and adaptability are crucial soft skills for remote work and cross-functional teamwork. These competencies ensure effective innovation, knowledge sharing, and the successful development of new products or solutions in a distributed work environment.

What job categories do people searching Remote Innovation Scientist jobs in Houston, TX look for?

The top searched job categories for Remote Innovation Scientist jobs in Houston, TX are:

Infographic showing various Remote Innovation Scientist job openings in Houston, TX as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $121,311 per year, or $58.3 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 29 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.

NAVA Software Solutions logo

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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