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Masters Computer Science Jobs in Austin, TX (NOW HIRING)

... Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep ...

... Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep ...

... Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep ...

... Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep ...

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Bachelors (BS in Computer Science) Required Masters (MS in Computer Science) Preferable Qualifications GC and Citizen will be preferred first. Additional Information Best Regards, Amrit Lal

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Masters Computer Science information

See Austin, TX salary details

$18.6K

$67.1K

$142.8K

How much do masters computer science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for masters computer science in Austin, TX is $67,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,719.00 and $92,231.00 per year, depending on experience, location, and employer.

What types of projects or responsibilities can I expect when starting a position with a master's degree in computer science?

As a new hire holding a Master's degree in Computer Science, you can expect to work on a variety of challenging projects, such as developing software applications, optimizing algorithms, conducting data analysis, or contributing to research-driven innovation, depending on the specific employer and industry. Your responsibilities might include writing and testing code, collaborating with cross-functional teams, and presenting technical solutions. You may also be involved in system architecture design, troubleshooting technical issues, or implementing new technologies. This role often encourages continuous learning, and you'll have opportunities to expand your expertise while working alongside experienced engineers and project managers.

What are the key skills and qualifications needed to thrive in the masters computer science position, and why are they important?

To succeed with a Master's degree in Computer Science, candidates typically need strong analytical abilities, programming skills in languages such as Python, Java, or C++, and a solid understanding of data structures, algorithms, and software engineering principles. Familiarity with development tools, version control systems like Git, and possibly certifications in areas such as cloud computing or machine learning are commonly valued. Excellent problem-solving, teamwork, and effective communication skills help individuals stand out in both collaborative and independent projects. These competencies enable professionals to develop advanced technological solutions and adapt to rapidly changing industry demands.

Are master's degrees in computer science worth it?

A master's degree in computer science can enhance job prospects, lead to higher salaries, and provide advanced skills in areas like algorithms, data structures, and programming. It is often valued for roles in software development, data analysis, and research, but practical experience and certifications also play a significant role in career advancement.

What is a masters computer science job?

A Masters Computer Science job typically requires an advanced degree in computer science or a related field, focusing on specialized areas such as artificial intelligence, data science, cybersecurity, or software development. Professionals in these roles apply their expertise in programming, algorithms, and system design to solve complex problems in industries like technology, healthcare, finance, and research. Common job titles include Software Engineer, Data Scientist, Machine Learning Engineer, and Cybersecurity Analyst. These roles often involve designing and optimizing software, analyzing large datasets, improving security measures, or developing innovative computing solutions. A master's degree can provide deeper knowledge, better job prospects, and higher salaries in the computer science field.

What are the most commonly searched types of Masters Computer Science jobs in Austin, TX? The most popular types of Masters Computer Science jobs in Austin, TX are:
What are popular job titles related to Masters Computer Science jobs in Austin, TX? For Masters Computer Science jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Masters Computer Science jobs? Cities near Austin, TX with the most Masters Computer Science job openings:
Infographic showing various Masters Computer Science job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $67,121 per year, or $32.3 per hour.

Data Scientist - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Re-posted 8 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 676 frontline employees who took The Breakroom Quiz

7th 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. Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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