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Algorithm Scientist Jobs in Houston, TX (NOW HIRING)

East West Bank

Financial Crimes Data Scientist

Houston, TX · On-site

$100K - $200K/yr

... algorithm optimization techniques. * Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist . * Experience with Data Visualization Tools like ...

MDAEdge

Lead Data Scientist - AWS Certified

Houston, TX · On-site

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

ExxonMobil

Computational Scientist

Spring, TX · On-site

Experience in developing, applying, and analyzing physics-based models and developing related algorithms. * Strong background in multiscale and/or multiphysics mathematical modeling, scientific ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

Experience in developing, applying, and analyzing physics-based models and developing related algorithms. * Strong background in multiscale and/or multiphysics mathematical modeling, scientific ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

Experience in developing, applying, and analyzing physics-based models and developing related algorithms. * Strong background in multiscale and/or multiphysics mathematical modeling, scientific ...

campus4tech

Lead Data Scientist

Houston, TX · On-site

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 ...

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Showing results 41-60

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 Sep 14, 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 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 September 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.

Senior Data Scientist-Gen AI/RAG

Houston, TX • Hybrid

YO AI Labs
See more jobs at YO AI Labsexternal

Full-time

Posted 11 days ago

Job description

Job Description

Role : Senior Data Scientist-Gen AI/RAG

Domain : Information technology (IT)

Job Type: Full Time

Location : USA - Houston

Experience: 7 - 15 Years

Job Summary:

Looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows), we need someone with practical implementation experience and the ability to interact confidently with customers. The selected candidate will leverage advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets.

Key Responsibilities:

  • Develop and implement machine learning algorithms to solve complex business problems. 
  • Analyze large datasets to generate insights and inform decision-making processes. 
  • Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
  • Communicate findings and recommendations effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science and machine learning technologies.

Skills and Tools Required:

  • Strong proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of statistical analysis techniques and data modeling.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Ability to work with databases and query large datasets using SQL.
  • Strong problem-solving skills and the ability to think critically.

Must Haves:

  • A 5-to-7-years of Relevant experience is needed. 
  • Hands-on Agentic AI production experience — LangGraph, LangChain, MCP, tool calling.
  • RAG implementation depth — vector databases, hybrid retrieval, reranking, knowledge graphs.
  • AWS Bedrock experience (Azure OpenAI or Vertex AI only acceptable as an alternate, not a substitute for GenAI cloud exposure generally).
  • Strong traditional ML/DS background — classification, regression, forecasting, anomaly detection, feature engineering, model evaluation.
  • 12+ months continuous, recent hands-on GenAI/LLM work.
  • Production deployment experience