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Mathematics And Computer Science Jobs in Houston, TX

Paladin Consulting

Data Scientist

The Woodlands, TX · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning ...

New

Waste Connections

Data Scientist

The Woodlands, TX · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field * 3+ years of experience in Data Science, Machine Learning ...

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Mathematics And Computer Science information

What is a Mathematics and Computer Science professional?

Mathematics and Computer Science professionals are experts who apply mathematical theories, computational techniques, and computer programming to solve complex problems in various industries. They often work in areas like software development, data analysis, research, cryptography, and algorithm design. These professionals use their skills to develop innovative solutions and improve technology, making significant contributions to science, engineering, finance, and more.

How do Mathematics and Computer Science professionals typically collaborate with other departments within an organization?

Professionals in Mathematics and Computer Science often work closely with teams such as engineering, data analytics, and business operations. They frequently collaborate to develop algorithms, optimize processes, and translate complex data into actionable insights. Effective communication is key, as these professionals must explain technical concepts to non-technical stakeholders and ensure that solutions align with broader business goals. These cross-functional interactions are integral to driving innovation and ensuring successful project outcomes.

What are the key skills and qualifications needed to thrive as a Mathematics and Computer Science professional, and why are they important?

To thrive as a Mathematics and Computer Science professional, you need strong analytical skills, a solid grasp of advanced mathematics and algorithms, and typically a degree in mathematics, computer science, or a related field. Proficiency in programming languages (such as Python, Java, or C++), mathematical modeling tools, and familiarity with database or statistical software are commonly required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These competencies are crucial for developing efficient solutions, collaborating on interdisciplinary projects, and driving innovation in technology-driven environments.

What is the difference between Mathematics And Computer Science vs Data Analyst?

AspectMathematics And Computer ScienceData Analyst
Required CredentialsBachelor's or higher in Math, CS, or related fieldsBachelor's in Statistics, Math, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Employer & Industry UsageTech firms, universities, research institutionsCorporations, marketing firms, government agencies
Common Search & ComparisonYesYes

Mathematics And Computer Science focuses on theoretical and applied aspects of algorithms, programming, and mathematical modeling, often in research or development settings. Data Analysts primarily interpret data to inform business decisions, working with statistical tools and data visualization. While both roles require strong analytical skills, Mathematics And Computer Science emphasizes technical programming and theory, whereas Data Analysts focus on data interpretation and reporting.

Is mathematics and computer science a good combo?

Mathematics and computer science is a strong combination for roles such as software developer, data analyst, or algorithm engineer, as it provides a solid foundation in problem-solving, logical thinking, and quantitative skills. This interdisciplinary knowledge is highly valued in tech industries, research, and data-driven fields, often requiring proficiency in programming languages and analytical tools.

What are the top 5 mathematics and computer science careers that pay well?

Mathematics and computer science careers that tend to offer high salaries include software engineers, data scientists, machine learning engineers, cybersecurity analysts, and quantitative analysts. These roles often require strong programming skills, knowledge of algorithms, and advanced degrees or certifications, with salaries influenced by experience and industry demand.

What can I do with a degree in mathematics and computer science?

A degree in mathematics and computer science prepares individuals for roles such as software developer, data analyst, cybersecurity analyst, or systems engineer. It provides skills in programming, algorithms, and data analysis, which are valuable across technology, finance, research, and engineering industries.

What jobs can you get with mathematics and computer science?

Graduates with a background in mathematics and computer science can pursue roles such as software developer, data analyst, cybersecurity analyst, systems analyst, and machine learning engineer. These jobs often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, Java, or SQL.

What are popular job titles related to Mathematics And Computer Science jobs in Houston, TX?

For Mathematics And Computer Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Mathematics And Computer Science jobs in Houston, TX look for?

The top searched job categories for Mathematics And Computer Science jobs in Houston, TX are:

Mathematics And Computer Science jobs near you
Infographic showing various Mathematics And Computer Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.

Data Scientist

Paladin Consulting

The Woodlands, TX • On-site

Other

Posted 2 days ago

New

Job description

Job Title: Data Scientist

Work Location: The Woodlands

Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline


Job Description:

  • This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
  • The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
  • This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
  • Develop, deploy, and maintain machine learning models and advanced analytics solutions
  • Design and build scalable data pipelines and data products
  • Perform data analysis, feature engineering, forecasting, and statistical modeling
  • Create dashboards, reports, and self-service analytics tools to support decision-making
  • Monitor, improve, and support production analytics solutions
  • Present findings and recommendations to both technical and non-technical audiences
  • Drive measurable business impact through data-driven insights and operational improvements
  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field
  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline
  • Strong proficiency in Python and SQL
  • Experience building and deploying production machine learning or analytics solutions
  • Experience developing and maintaining data pipelines
  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
  • Experience communicating analytical findings to business stakeholders
  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

  • Experience with Databricks, Spark, or PySpark
  • Experience with cloud platforms such as AWS or Azure
  • Experience with Tableau, Power BI, or other data visualization tools
  • Experience with modern data architectures and lakehouse environments
  • Experience developing AI-enabled applications
  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics


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