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Algorithm Scientist Jobs in Houston, TX (NOW HIRING)

... algorithms. • Build algorithms/models to improve business operations. • Perform research ... science tools and vendors. • Ensure compliance with organizational standards and policies. • ...

Lead Data Scientist Location: Houston, TX Job Type: Permanent Full Time Job Mode: 100% Onsite ... Develops and applies algorithms or models to key business metrics with the goal of improving ...

FWI & AI Scientist

Houston, TX · On-site

$100 - $150/hr

Track record of developing and delivering production‑grade scientific software in HPC or cloud environments, including data pipeline and imaging algorithm. Preferred Qualifications * Expertise in ...

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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 Aug 23, 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.

What is an algorithm scientist?

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.

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 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 cities near Houston, TX are hiring for Algorithm Scientist jobs?

Cities near Houston, TX with the most Algorithm Scientist job openings:

Infographic showing various Algorithm Scientist job openings in Houston, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.

Lead Data Scientist - AWS Certified

MDAEdge

Houston, TX • On-site

Full-time

Re-posted 16 days ago


Job description

Job Summary:
MDAEdge is a company seeking a Lead Data Scientist with AWS certification. The role involves leading high-priority projects, mentoring data scientists, and developing custom data models to improve business operations.
Responsibilities:
• Lead high-priority projects impacting the organization.
• Solve complex issues and escalate when needed.
• Mentor and train other data scientists and staff.
• Develop custom data models and algorithms.
• Build algorithms/models to improve business operations.
• Perform research, analysis, and modeling on organizational data.
• Maintain and improve existing models.
• Provide advanced data insights using predictive modeling, visualization, and analytics tools.
• Develop and test hypotheses; present clear, actionable findings.
• Collaborate with teams to resolve data issues and improve processes.
• Assist in evaluating data science tools and vendors.
• Ensure compliance with organizational standards and policies.
• Support team growth by mentoring, coaching, and professional development.
• Deliver excellent service and maintain strong client relationships.
• Other duties as assigned.
Qualifications:
Required:
• Experience as a Project Lead.
• Skilled in building data sets.
• Strong presentation skills to C-level executives.
• Hands-on experience with Cogito (Required).
• AWS Certification (Required).
• Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.
• At least 7 years of experience in data science.
• Strong business analysis skills (process flows, spreadsheets, modeling, etc.).
• Expertise in machine learning techniques (clustering, decision trees, neural networks, etc.).
• Advanced knowledge of statistics (regression, distributions, statistical tests, etc.).
• Strong data storytelling and requirement-gathering skills.
• Advanced knowledge of the data science project life cycle.
• Programming experience and proficiency with statistical analysis tools.
• Strong problem-solving and analytical reasoning skills.
• Experience with SQL database management tools.
• Skilled in advanced data science methods: time series forecasting, regression, A/B testing, clustering, etc.
• Strong communication skills for both technical and non-technical audiences.
• Ability to manage multiple projects independently and meet deadlines.
• Strong project management and client-handling skills.
• Ability to troubleshoot, recommend solutions, and translate complex data for stakeholders.
Preferred:
• Master's degree in Data Science preferred.
• Preferred experience in healthcare, hospital settings, medical informatics, healthcare IT, finance/revenue cycle data, or EHR data management.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.