Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

Marvell is a leading provider of innovative technologies, including ultra-fast read channels, high-performance processors, leading edge transceivers, highly efficient analog designs, and powerful cryptographic engines. These solutions address all segments of the hard disk drive (HDD) and solid-state drive (SSD) electronics markets, providing complete solutions including controllers, product firmware, and reference board designs. Many of the same technologies have been utilized in Marvell system solutions products, powering PCs, servers, cloud, and enterprise systems.

What You Can Expect

What you'll do

• Design, develop, and deploy machine learning models to build AI-powered business applications.
• Work with datasets to build, train, and evaluate predictive models and algorithms.
• Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions.
• Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights.
• Optimize models for performance and scalability in production environments.
• Stay up-to-date with the latest developments in AI and machine learning, implementing best practices to ensure robust and efficient models.
• Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency.
• Develop automation solutions that remove repetitive manual steps, ensuring consistent execution and reducing operational overhead.
• Build secure, compliant infrastructure and automation workflows that safeguard data, enforce policy requirements, and reduce security risk across environments.
• Mentor junior team members and contribute to knowledge sharing across the team.

What We're Looking For

Qualifications

• Bachelor's degree and 5-10 years of experience, or Master's degree and 3-5 years of experience in Computer Science, Data Science, Machine Learning, or related fields.
• Strong background in machine learning algorithms, statistical modeling, and data analysis, with track record of deployment at scale
• Proficiency in Python, R, or a similar programming language for data manipulation and model development.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Solid understanding of data structures, algorithms, and software development principles.
• Knowledge of big data technologies such as Hadoop or Spark
• Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models.
• Familiarity with data visualization tools like Matplotlib, Seaborn, or similar.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications

• Experience with deep learning, reinforcement learning, or natural language processing.
• Prior experience working in an AI-driven company or startup environment.

Expected Base Pay Range (USD)

132,500 - 196,140, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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