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What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What other companies are hiring for Data Scientist jobs?
What are the most popular jobs at Amd?
What are the most popular categories at Amd?
Infographic showing various Data Scientist job openings at Amd in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Temporary. Highlights an 57% Physical, 42% Hybrid, and 1% Remote job distribution.
AI/HPC Data Center Rack Design Engineer

AI/HPC Data Center Rack Design Engineer

Advanced Micro Devices, Inc

Austin, TX

Full-time

Posted 14 days ago

Advanced Micro Devices rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

53rd of 137 rated electronics manufacturers

Job description


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  



THE ROLE

We are seeking a highly skilled systems engineer to design data center rack layouts for AI/HPC clusters. This role involves 

evaluating and selecting rack-level compute, storage, networking, power delivery, and cooling solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads.

THE PERSON

An experienced systems engineer with a strong background in HPC, AI infrastructure, and data center engineering. You bring deep technical knowledge of data center rack layout, compute and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms.

 KEY RESPONSIBILITIES

  • Rack & Cluster Design
    • Design scalable AI/HPC data center rack layouts including compute, storage, networking, power delivery and cooling
    • Translate high level requirements and architecture input into detailed rack designs
    • Design leading-edge thermal and power delivery for high-density deployments
  • Network
    • Design intra-rack and rack-to-rack network connections to maximize overall cluster performance
    • Translate network architecture requirements and input into rack-level designs
    • Understand the network performance needs of different types of workloads
    • Understand advantages and performance trade-offs of network topologies for AI/HPC clusters
  • Power
    • Design rack-level and data center power delivery infrastructure
    • Define power budgets, redundancy schemes, and fault tolerance mechanisms
    • Understand differences in power delivery and regulatory requirements in global locations, e.g. U.S., EMEA, Asia and other countries
  • Storage
    • Translate storage architecture requirements and input into rack-level designs
    • Design and optimize storage solutions to maximize AI/HPC cluster performance
    • Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc.
  • Collaboration
    • Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure.

PREFERRED EXPERIENCE

  • Extensive experience in HPC, AI infrastructure, or data center systems engineering
  • Experience with liquid cooling or advanced thermal management
  • Experience with rack level power distribution
  • Contributions to open-source HPC or AI infrastructure projects

ACADEMIC CREDENTIALS

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field or equivalent work experience

#LI-KW1

This role is not eligible for Visa sponsorship.



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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