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Algorithm Scientist Jobs in Houston, TX (NOW HIRING)

Work closely with software engineers and data scientists/engineers to integrate safety algorithms into battery and battery management systems. * Analyze and optimize the computational efficiency of ...

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 ...

... 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.

Role Overview We are seeking a Data Scientist to help build the next generation of industrial ... Develop algorithms capable of handling noisy, sparse, and real-world operational data. * Evaluate ...

New

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 ...

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

What role you will play in our team As an Optimization Scientist, you will apply deep technical ... algorithms, experimenting with novel solution approaches, and transforming complex business ...

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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 Jul 13, 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 degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

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 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 July 2026, with employment types broken down into 3% Locum Tenens, 73% Full Time, 22% Part Time, and 2% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.
BMS Algorithm Engineer

BMS Algorithm Engineer

MICROVAST INC

Houston, TX • On-site

Full-time

Posted 11 days ago


Job description

BMS Algorithm Engineer

Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Houston, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com

If you’re ready to be part of a company that’s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation.

Job Summary

Microvast is seeking a highly skilled BMS Algorithm Engineer to join our team. This role involves designing, developing, and optimizing advanced algorithms to solve complex problems in battery system. The ideal candidate should have strong analytical skills, a deep understanding of algorithm design, and experience in implementing scalable solutions.

The position is 5 days in office, located at our headquarters in Houston, TX.

Key Responsibilities

  • Design, develop, and optimize safety related algorithms for battery system and battery management system.
  • Conduct research and apply state-of-the-art methodologies to improve system performance.
  • Work closely with software engineers and data scientists/engineers to integrate safety algorithms into battery and battery management systems.
  • Analyze and optimize the computational efficiency of algorithms to ensure scalability.
  • Develop prototypes and proof-of-concept models to validate new ideas and approaches.
  • Stay updated with the latest advancements in algorithms and related technologies.
  • Document design decisions, processes, and performance metrics for internal and external stakeholders.
  • Collaborating with other business units and teams

Qualifications & Skills

Required

  • Master’s or PhD in Computer Science, Mathematics, Electrical Engineering, Automation or a related field.
  • Strong foundation in algorithm design, data structures, and computational complexity.
  • Solid understanding of mathematical and statistical modeling techniques.
  • Experience with large-scale data processing and optimization techniques.
  • Ability to work collaboratively in a team environment and communicate technical concepts effectively.
  • Strong problem-solving skills and the ability to think critically under challenging scenarios.
  • Creative thinking skills & Strong analytical skills
  • Ability to communicate well with other members of the development team

Preferred Qualifications:

  • Hands-on experience with machine learning frameworks is a plus.
  • Familiarity with cloud computing and distributed computing frameworks
  • Proficient in Mandarin

Annual salary + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Microvast is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law.