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Summer Masters Computer Science Jobs in Texas (NOW HIRING)

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Summer Masters Computer Science information

What is the difference between Summer Masters Computer Science vs Summer Data Science Intern?

AspectSummer Masters Computer ScienceSummer Data Science Intern
Required CredentialsUndergraduate or Master's in Computer Science or related fieldUndergraduate or Master's in Data Science, Computer Science, or related field
Work EnvironmentSoftware development, coding, algorithm designData analysis, modeling, statistical programming
Employer & Industry UsageTech companies, software firms, startupsTech companies, finance, healthcare, consulting

Summer Masters Computer Science roles focus on software development, coding, and algorithms, while Summer Data Science Intern positions emphasize data analysis, statistical modeling, and data-driven decision making. Both roles typically require similar educational backgrounds and are found in tech-driven industries, but they differ in daily tasks and skill emphasis.

What are the most commonly searched types of Masters Computer Science jobs in Texas? The most popular types of Masters Computer Science jobs in Texas are:
What are popular job titles related to Summer Masters Computer Science jobs in Texas? For Summer Masters Computer Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Summer Masters Computer Science jobs in Texas look for? The top searched job categories for Summer Masters Computer Science jobs in Texas are:
What cities in Texas are hiring for Summer Masters Computer Science jobs? Cities in Texas with the most Summer Masters Computer Science job openings:
Infographic showing various Summer Masters Computer Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Data Scientist - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Re-posted 16 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 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