... Computer Science, Statistics, Applied Math, Engineering, or a related field7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles2+ years of ...
... Computer Science, Statistics, Applied Math, Engineering, or a related field7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles2+ years of ...
... Computer Science, Statistics, Applied Math, Engineering, or a related field 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles 2+ years of ...
... Computer Science, Statistics, Applied Math, Engineering, or a related field 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles 2+ years of ...
If you have previously applied, there is no need to reapply. Your application is still being ... Master's degree in Accounting, Finance, Mathematics Computer Science, Computer Information Systems ...
If you have previously applied, there is no need to reapply. Your application is still being ... Master's degree in Accounting, Finance, Mathematics Computer Science, Computer Information Systems ...
If you have previously applied, there is no need to reapply. Your application is still being ... Master's degree in Accounting, Finance, Mathematics Computer Science, Computer Information Systems ...
If you have previously applied, there is no need to reapply. Your application is still being ... Master's degree in Accounting, Finance, Mathematics Computer Science, Computer Information Systems ...
Senior Python Developer
$117K - $158K/yr
Computer Science * Applied Mathematics * Statistics * Financial Engineering / Financial Mathematics * 5+ years of hands-on experience in Python development, preferably in analytics, data engineering ...
Senior Python Developer
$117K - $158K/yr
Computer Science * Applied Mathematics * Statistics * Financial Engineering / Financial Mathematics * 5+ years of hands-on experience in Python development, preferably in analytics, data engineering ...
If you have previously applied, there is no need to reapply. Your application is still being ... Master's degree in Accounting, Finance, Mathematics Computer Science, Computer Information Systems ...
If you have previously applied, there is no need to reapply. Your application is still being ... Master's degree in Accounting, Finance, Mathematics Computer Science, Computer Information Systems ...
Minimum Qualifications: - PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field. - 1+ ...
Minimum Qualifications: - PhD (or equivalent research experience) in Computational Neuroscience, Computer Science, Electrical Engineering, Applied Mathematics, Robotics, or a related field. - 1+ ...
Minimum Qualifications Graduation from an accredited college or university in a bachelor's degree with major course in Accounting, Finance, Math, Computer Science, Computer Information Systems, or ...
Minimum Qualifications Graduation from an accredited college or university in a bachelor's degree with major course in Accounting, Finance, Math, Computer Science, Computer Information Systems, or ...
Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science * Experience with Python geospatial libraries such as ...
Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science * Experience with Python geospatial libraries such as ...
Spark, SQL, Snowflake/Hadoop, etc)Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in ...
Spark, SQL, Snowflake/Hadoop, etc)Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in ...
Machine Learning Engineer, ML/GenAI Evaluation
$171K - $302K/yr
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Bachelor's degree with 7+ years hands-on experience in ML evaluation, model ...
Machine Learning Engineer, ML/GenAI Evaluation
$171K - $302K/yr
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Bachelor's degree with 7+ years hands-on experience in ML evaluation, model ...
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. * Bachelor's degree with 7+ years hands-on experience in ML evaluation ...
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. * Bachelor's degree with 7+ years hands-on experience in ML evaluation ...
Machine Learning Engineer, ML/GenAI Evaluation
$171K - $302K/yr
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Bachelor's degree with 7+ years hands-on experience in ML evaluation, model ...
Machine Learning Engineer, ML/GenAI Evaluation
$171K - $302K/yr
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Bachelor's degree with 7+ years hands-on experience in ML evaluation, model ...
Machine Learning Engineer, ML/GenAI Evaluation
$171K - $302K/yr
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Bachelor's degree with 7+ years hands-on experience in ML evaluation, model ...
Machine Learning Engineer, ML/GenAI Evaluation
$171K - $302K/yr
S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Bachelor's degree with 7+ years hands-on experience in ML evaluation, model ...
D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experienceExperience in Recommender Systems, Personalization, Search ...
D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experienceExperience in Recommender Systems, Personalization, Search ...
Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science * Experience with Python geospatial libraries such as ...
Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science * Experience with Python geospatial libraries such as ...
MS in Applied Statistics, Statistics, Computer Science, or advanced Math, Engineering. * Deep understanding of the full stack of modern data analytics, engineering, and modeling--including tools for ...
MS in Applied Statistics, Statistics, Computer Science, or advanced Math, Engineering. * Deep understanding of the full stack of modern data analytics, engineering, and modeling--including tools for ...
Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science Experience with Python geospatial libraries such as ...
Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science Experience with Python geospatial libraries such as ...
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).Experience in one of the following two areas: Applied AI ...
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).Experience in one of the following two areas: Applied AI ...
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).Experience in one of the following two areas: Applied AI ...
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).Experience in one of the following two areas: Applied AI ...
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?
| Aspect | Applied Mathematics Computer Science | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in applied math, computer science, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Research labs, tech companies, academia | Business, finance, healthcare, and marketing sectors |
| Employer & Industry Usage | Tech firms, research institutions, universities | Corporations, consulting firms, government agencies |
| Common Search & Comparison | Applied 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:
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work...Apple's Strategic Data Solutions (SDS) team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You'll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.
• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives• Evangelize data science best practices and help embed a data-informed culture across teams• Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles2+ years of experience leading and mentoring data-focused teamsProficiency in SQL and at least one programming language (e.g., Python, R)Strong background in experimentation design, causal inference, and statistical analysisExperience working with large-scale data pipelines and production-level analytics systemsProven ability to drive measurable business impact through data and automation
Experience with building robust monitoring systems to track data and model health in productionExpertise in data storytelling and creating stakeholder-ready visualizations and narrativesAbility to connect insights to business outcomes and influence strategyFamiliarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops toolingPassion for fostering inclusive team environments and valuing diverse perspectivesClear communicator who can translate complex technical concepts into actionable business language
• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives• Evangelize data science best practices and help embed a data-informed culture across teams• Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes
Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles2+ years of experience leading and mentoring data-focused teamsProficiency in SQL and at least one programming language (e.g., Python, R)Strong background in experimentation design, causal inference, and statistical analysisExperience working with large-scale data pipelines and production-level analytics systemsProven ability to drive measurable business impact through data and automation
Experience with building robust monitoring systems to track data and model health in productionExpertise in data storytelling and creating stakeholder-ready visualizations and narrativesAbility to connect insights to business outcomes and influence strategyFamiliarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops toolingPassion for fostering inclusive team environments and valuing diverse perspectivesClear communicator who can translate complex technical concepts into actionable business language
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976