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Applied Mathematics Computer Science Jobs in Austin, TX

Apple

Applied Scientist

Austin, TX

$171K - $302K/yr

... Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role ...

Apple

Applied Scientist

Austin, TX

$171K - $302K/yr

... Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role ...

LPL Financial

Sr. Analyst, Data Science

Austin, TX · On-site

$85K - $143K/yr

Stay current on advances in applied ML and bring emerging methods to bear on relevant business ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related ...

Munich Re

Intern - Business Data Analytics

Austin, TX · On-site

Applied Mathematics * Computer Science (analytics or data-focused track) (Graduate-level coursework preferred due to complexity and autonomy of work.) Responsibilities * Design and build initial ...

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All JobsApplied Mathematics Computer Science JobsApplied Mathematics Computer Science Jobs in Austin, TX

Applied Mathematics Computer Science information

What can I do with mathematics and computer science?

Applied mathematics and computer science graduates can pursue careers in software development, data analysis, cybersecurity, machine learning, and quantitative research. These fields require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, often supported by certifications or advanced degrees.

What is applied mathematics in computer science?

Applied mathematics in computer science involves using mathematical methods and models to solve practical problems related to algorithms, data analysis, cryptography, and software development. It includes skills in areas such as linear algebra, probability, and optimization, which are essential for developing efficient algorithms and understanding computational systems.

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

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied math good for computer science?

Applied mathematics is highly valuable for computer science roles, especially in areas like algorithms, data analysis, machine learning, and cryptography. Strong mathematical skills can enhance problem-solving and enable the development of efficient, innovative solutions in tech environments.

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

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge in languages like Python or Java, and understanding of algorithms and data structures.
What are popular job titles related to Applied Mathematics Computer Science jobs in Austin, TX? For Applied Mathematics Computer Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Applied Mathematics Computer Science jobs in Austin, TX look for? The top searched job categories for Applied Mathematics Computer Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Applied Mathematics Computer Science jobs? Cities near Austin, TX with the most Applied Mathematics Computer Science job openings:
Applied Mathematics Computer Science jobs near you

Senior Data Scientist, Applied Science

Future Secure AI

Austin, TX • On-site

Other

Posted 27 days ago

Job description

The Opportunity

As a Sr. Data Scientist - Applied Science, you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine learning systems-particularly LLMdriven solutions-that solve highvalue, realworld problems for enterprise clients.

You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.

Your work will directly contribute to AI systems that have the potential to transform industries-and society.

What You'll Do

  • Deploy machine learning models and LLM systems that drive meaningful impact for our products and users
  • Analyse complex, largescale structured and unstructured datasets to uncover insights and opportunities
  • Enhance LLM output quality across diverse use cases, including optimisation of multistep reasoning chains
  • Lead MLOps initiatives including model performance tracking, benchmark design, quality assurance, and compliance
  • Influence longterm data and AI strategy, including governance, ethical AI, and scalable frameworks
  • Collaborate closely with engineering, product, and executive stakeholders to deliver innovative, productionready solutions
  • Mentor and uplift junior data scientists, setting standards for excellence

About You

You are a seasoned Data Scientist (5+ years) with deep handson experience and a track record of delivering impactful ML and AI outcomes. You thrive in ambiguity, communicate exceptionally well, and enjoy partnering with crossfunctional teams to deliver measurable results.

You balance scientific rigour with practical execution, and you bring a curiosity that keeps you constantly exploring new research-especially in the fastmoving LLM space.

You'll be successful if you have:

  • A Master's or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • Experience from within AI sector, ideally agentic AI
  • Strong experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Commercial experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multiagent frameworks, GPTbased systems)
  • Python experience focused on machine learning and NLP. Knowledge of other software languages is highly beneficial
  • Ability to translate complex technical concepts into clear, actionable insights for nontechnical stakeholders
  • Empathy, humility, and a growth mindset-open to feedback and committed to collaboration
  • Comfort working in an agile, fastevolving environment

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity


Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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