At WD, 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, WD 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 and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future.

Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description

Responsibilities related to data science and machine learning in a manufacturing context. Key tasks include collaborating with cross-functional teams to create impactful data solutions, analyzing large datasets to enhance business metrics, designing and implementing machine learning models, developing scalable computer vision solutions, and maintaining web applications for data initiatives. Additionally, it involves interpreting data insights, communicating findings to stakeholders, and delivering presentations with visualized data and business conclusions.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
Researching and developing scalable computer vision and machine learning solutions for complex problems
Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
Prepare and deliver presentations with data visualizations and business conclusions

Qualifications

REQUIRED:

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Software Engineering, and Robotics & AI Engineering with relevant industry or academic experience in data analytics
2 - 5 years of experience in Data Science field

PREFERRED:

Knowledge of AI/ML model development and lifecycle management.
Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker).
Experience in Computer Vision and image processing techniques.
Experience in web development.
Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning).
Ability to communicate complex technical concepts to non-technical stakeholders.
Proactive approach to learning and implementing emerging technologies.

SKILLS:

Proficiency in SQL, Big Data platforms, and cloud services (e.g., AWS)
Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms.
Required: Python, Computer Vision, ML model development
Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
Strong communication, analytical, and problem-solving skills.

Additional Information

WD 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.

WD 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 [HIDDEN TEXT] 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 WD 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 WD Ethics Helpline or email [HIDDEN TEXT].

Senior Data Science

Senior Data Science