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Algorithm Scientist Jobs in Texas (NOW HIRING)

As a Sr. Data Scientist, you will be challenged to work across teams and organizations to put theory into practice through experimentation and invention, develop new algorithms for complex problems ...

As a Sr. Data Scientist, you will be challenged to work across teams and organizations to put theory into practice through experimentation and invention, develop new algorithms for complex problems ...

Develop custom data models and algorithms to apply to data sets. Use predictive modeling to ... Master's degree in Data Science, Computer Science, related field or foreign equivalent. Required ...

Develop custom data models and algorithms to apply to data sets. Use predictive modeling to ... Master's degree in Data Science, Computer Science, related field or foreign equivalent. Required ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

... algorithms • Ensure data quality and integrity • Collaborate with cross-functional teams ... Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics ...

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Develop custom data models and algorithms to apply to data sets. * Use predictive modeling to ...

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 ...

Showing results 41-60

Algorithm Scientist information

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 in Texas are hiring for Algorithm Scientist jobs?

Cities in Texas with the most Algorithm Scientist job openings:

Infographic showing various Algorithm Scientist job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Scientist II - Model Validation and Monitoring

Vytwo

Prosper, TX • On-site

$60 - $65/hr

Full-time

Re-posted 24 days ago


Job description

Role : Data Scientist II – Model Validation and Monitoring
Location: Scottsdale AZ (Onsite)
*US Citizen & GC Only

**Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future.
Overall, Purpose
 
This position serves as a data science team member in the Model Validation and Monitoring Team delivering leading edge machine learning models to our clients.  This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models.

 Essential Functions

  • Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies.
  • Conduct rigorous model validation by providing effective challenges during model development phases, including performance testing, benchmarking, provide remediation plan, and documentation to ensure models meet business, technical, and regulatory standards.
  • Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
  • Write production level code in a dynamic, start-up environment
  • Solve complex problems using terabyte size data sets
  • Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Explain and visualize results and algorithm performance to non-technical audiences
 
Minimum Qualifications
  • A minimum of 2 years of data science, engineering, mathematics, or related work experience is required.
  • Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.
  • Experience applying various machine learning techniques, and understanding the key parameters that affect model performance
  • Experience using ML libraries, such as scikit-learn, mllib, etc.
  • Experience using data visualization tools
  • Able to write production level code, which is well-written and explainable
  • Ability to effectively communicate findings from complex analyses to non-technical audiences. 
 
Preferred Qualifications
  • Experience of using advanced ML algorithms building, testing, and deploying fraud models.
  • Hands-on experience with PySpark
  • Industry experience in building or validating machine learning models
  • Experience exploring data and finding hidden patterns and data anomalies