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Mlb Analytics Jobs in Texas (NOW HIRING)

Apple

Data Center - MLB Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Description The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next ...

Apple

Data Center - MLB Reliability Engineer

Austin, TX

$101K - $127K/yr

Description The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next ...

Apple

Signal Integrity Engineer - Memory Interface

Austin, TX · On-site

$165K/yr

... MLB • Work with circuit and controller team to optimize memory system design • Work on SI and ... Prior experience working with actual product package/board design and analysis, PI/SI methodology ...

KitchFix

Executive Chef

Arlington, TX · On-site

$64K - $88K/yr

Write weekly schedules according to the MLB schedule * Track & manage account budgets, being a good ... Analytical . You can gather information from various sources and interpret the data to reach a ...

KitchFix

Executive Chef

Arlington, TX

$64K - $88K/yr

Write weekly schedules according to the MLB schedule * Track & manage account budgets, being a good ... Analytical . You can gather information from various sources and interpret the data to reach a ...

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How much do mlb analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for mlb analytics in Texas is $115,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $143,000.00 per year, depending on experience, location, and employer.

What is an MLB Analytics?

An MLB Analytics job involves analyzing baseball data to help teams make informed decisions about player performance, strategy, and roster construction. Analysts use statistical models, data visualization, and machine learning to evaluate player tendencies, optimize lineups, and assess in-game strategies. These roles often require proficiency in programming languages like Python or R, as well as experience with databases and advanced statistical methods.

What are the key skills and qualifications needed to thrive in MLB Analytics?

To thrive in MLB Analytics, you need a strong background in statistics, data science, and baseball analytics, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, advanced proficiency with data visualization tools, and experience using statistical modeling software are typically required. Strong communication, critical thinking, and teamwork skills help translate complex data insights into actionable recommendations for coaches and front office staff. These skills are crucial to drive informed decision-making and gain a competitive edge in the dynamic environment of Major League Baseball.

What does an MLB Analytics do?

Professionals in MLB Analytics are responsible for collecting, cleaning, and analyzing large sets of baseball performance data to provide actionable insights for coaching staff, players, and management. Their daily work often involves developing predictive models, preparing visualizations and reports, and collaborating with other departments like scouting, sports medicine, and player development. They frequently attend meetings with coaches, weigh in on player acquisitions or game strategies, and may be tasked with presenting findings to non-technical audiences. The role is highly collaborative and dynamic, requiring both technical expertise and a deep understanding of the game.

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What cities in Texas are hiring for Mlb Analytics jobs? Cities in Texas with the most Mlb Analytics job openings:
Mlb Analytics jobs near you
Infographic showing various Mlb Analytics job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $115,384 per year, or $55.5 per hour.

Data Center - MLB Reliability Engineer

Apple

Austin, TX • On-site

$101K - $127K/yr

Full-time

Posted 7 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

At Apple, we don't just follow industry standards-we define them. We value creative problem-solving and the ability to adapt to new technical challenges. In this role, you will collaborate with diverse hardware teams to ensure our data center infrastructure is not only durable, but built to exceed expectations. From early concepts to field optimization, you will drive innovative reliability strategies and continuous improvement to shape the future of the critical systems powering our global services.
Description
The position is on Apple's innovative Datacenter MLB Reliability Engineering team, wherein we are seeking a highly analytical individual to develop the reliability strategy for our next-generation Data Center motherboards. In this role, you will bridge the gap between component-level and package level physics of failures and system-level availability. You will drive SoC and board integration reliability through rigorous stress testing and physics-of-failure analysis, utilizing advanced statistical modeling to ensure these critical modules meet the uptime and availability requirements of a high-demand data center environment
Minimum Qualifications
BS in Materials Science, Electrical, Mechanical Engineering or an equivalent field desired with 5+ years of experience.
Proficiency in statistical life data analysis
Strong knowledge of Semiconductor package integration, SLI reliability, passive components, PCB reliability, bonding materials, and warpage control.
Ability to apply FMEA (Failure Modes and Effects Analysis) methodologies.
Excellent written and verbal communication skills with the ability to explain complex statistical concepts to non-experts.
Ability to manage multiple projects simultaneously in a fast-paced environment.
Preferred Qualifications
MS or PhD in Reliability Engineering, Systems Engineering, Electrical Engineering, Materials Science, or an equivalent field..
Background in reliability for large-die packages, heterogeneous integration, and high-power server motherboards.
Experience applying reliability modeling (Markov, RBD, Bayesian) and RAS metrics to Data Center architectures.
Proficiency with reliability software (e.g., Weibull++, BlockSim, JMP, Minitab) and scripting languages for statistical modeling like Python, R, or MATLAB.
A record of initiating innovation and continuous improvement in reliability methodologies.
Dynamic and "can-do" attitude with a desire to work with a great team and product.
Exceptional problem-solving abilities and strong attention to detail.

What Apple employees say

Pay

Benefits

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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

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