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Remote Algorithm Engineer Jobs in Spring, TX (NOW HIRING)

SupplyHouse

Principal Engineer

Houston, TX · Remote

$50K - $60K/yr

Through an Employer of Record (EOR), we are looking for a new Principal Backend Engineer in India ... Deep understanding of data structures , algorithms

GMV

Full Stack Software Engineer - Remote

Houston, TX · On-site +1

If you don't know us yet, we are an engineering and technological innovation company working on ... Algorithm development * Fluent in English (C1 or higher) * ... WHAT DO WE OFFER? * Join our team ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

All JobsAlgorithm Engineer JobsRemote Algorithm Engineer JobsRemote Algorithm Engineer Jobs in Spring, TX

Remote Algorithm Engineer information

See Spring, TX salary details

$52.9K

$99.3K

$180.6K

How much do remote algorithm engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote algorithm engineer in Spring, TX is $99,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $117,900.00 per year, depending on experience, location, and employer.

What is a remote algorithm engineer?

A Remote Algorithm Engineer is a professional who designs, develops, and optimizes algorithms for various applications, such as data analysis, machine learning, or software development, while working from a remote location. This role involves solving complex problems, collaborating with team members online, and implementing efficient solutions to improve system performance. Remote Algorithm Engineers often work in industries like technology, finance, healthcare, and more, utilizing programming languages and mathematical concepts to create effective algorithms.

What are the key skills and qualifications needed to thrive as a remote algorithm engineer?

To thrive as a Remote Algorithm Engineer, you need a strong background in computer science, mathematics, and algorithm design, often supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with version control systems and cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and clear communication skills are essential for excelling in a remote environment. These skills ensure the engineer can develop efficient solutions, collaborate effectively with distributed teams, and deliver high-quality work independently.

What are some common challenges faced by remote algorithm engineers, and how can they be addressed?

Remote Algorithm Engineers often face challenges such as effective communication with distributed teams, managing their own schedules, and ensuring seamless integration of their work with larger systems. To address these, it's important to leverage collaborative tools (like code repositories, project management platforms, and video conferencing), maintain clear and regular communication with colleagues, and participate in code reviews and design discussions. Establishing a structured routine and proactively seeking feedback can also help in staying aligned with project goals and team expectations.

What are the most commonly searched types of Algorithm Engineer jobs in Spring, TX?

The most popular types of Algorithm Engineer jobs in Spring, TX are:

What are popular job titles related to Remote Algorithm Engineer jobs in Spring, TX?

For Remote Algorithm Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Algorithm Engineer jobs in Spring, TX look for?

The top searched job categories for Remote Algorithm Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Algorithm Engineer jobs?

Cities near Spring, TX with the most Remote Algorithm Engineer job openings:

Remote Algorithm Engineer jobs near you

Data Scientist - Remote

Houston, TX • On-site, Remote

NAVA Software Solutions
IT Services • 51 - 200 employees
Learn more about NAVA Software Solutionsexternal

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

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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