Scientist 5, Data Science, Generative AI, MLOps and Data engineering , 12+ years
1/9/2026
Lead the development of machine learning and AI models for predictive analytics and automation. Architect scalable data pipelines and collaborate with teams to integrate models into production systems.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.
At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.
We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.
Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.
We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.
Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.
Job Description
Lead end-to-end development of machine learning and AI models for predictive analytics, optimization, and automation.
Architect and implement scalable data pipelines for ingestion, transformation, and storage of large datasets using Big Data technologies.
Develop advanced algorithms leveraging techniques from machine learning, deep learning, and statistical modeling.
Collaborate with cross-functional teams to integrate models into production systems and ensure alignment with business objectives.
Drive technical leadership and innovation by exploring emerging technologies and methodologies to enhance data-driven decision-making.
Document and present findings to technical and non-technical stakeholders, ensuring clarity and actionable insights.
Mentor and guide junior data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
Master’s in Computer Science, Data Science, Statistics, or related field.
8+ years of industry experience in data science, machine learning, or AI.
Proficiency in Python, R, and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong knowledge of SQL/NoSQL databases and Big Data technologies (Hadoop, Spark).
Expertise in cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Solid understanding of data structures, algorithms, and software engineering principles.
Experience with Natural Language Processing (NLP), Computer Vision, Generative AI (MCPs).
Proven track record of deploying ML models at scale in production environments.
Strong communication and technical leadership skills.
Advanced problem-solving and analytical thinking.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email [email protected].
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