ZipRecruiter

Log In

1

Algorithm Scientist Jobs in Houston, TX (NOW HIRING)

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data ... Expereince implementing scenario simulation algorithms. * Work independently to break down complex ...

Amazon

Data Scientist II - AMZ27028.1

Houston, TX · On-site

$136K - $184K/yr

... algorithms, and neural networks. Validate models against alternative approaches, expected and ... Science, or a related field and one year of experience in the job offered or a related occupation.

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal ... Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis ...

Corva

Senior Data Scientist

Houston, TX · On-site

Senior Data Scientists at Corva operate with a high degree of autonomy, influence technical ... Develop and implement optimization algorithms to improve operational efficiency and performance

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · On-site +1

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Solid understanding of statistical modeling, optimization, and algorithm design * Proven ability to ...

next page

Showing results 1-20

All JobsAlgorithm Scientist JobsAlgorithm Scientist Jobs in Houston, TX

Algorithm Scientist information

See Houston, TX salary details

$48.2K

$106.3K

$131.3K

How much do algorithm scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for algorithm scientist in Houston, TX is $106,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,800.00 per year, depending on experience, location, and employer.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Houston, TX? For Algorithm Scientist jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Algorithm Scientist jobs in Houston, TX look for? The top searched job categories for Algorithm Scientist jobs in Houston, TX are:
What cities near Houston, TX are hiring for Algorithm Scientist jobs? Cities near Houston, TX with the most Algorithm Scientist job openings:
Algorithm Scientist jobs near you
Infographic showing various Algorithm Scientist job openings in Houston, TX as of May 2026, with employment types broken down into 3% Locum Tenens, 1% As Needed, 85% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.
Data Scientist - Remote

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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

Social media

Facebook

View All NAVA Software Solutions Jobs

Apply