Scientist 1, Data Science

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 Computer Science, Data Science, AI, or equivalent experience
• At least 1 year of experience in Data Science.

PREFERRED:

• Prior project or internship experience in Python, Computer Vision, ML model development, or GenAI
• Programming skills in Python with data handling experience (pandas, APIs, scripting)
• Foundational understanding of AI/ML, Computer Vision, and image processing techniques
• Knowledge of mathematical modeling, optimization, or simulation techniques for operational problem-solving
• Familiarity with SQL, databases, and data visualization through coursework or projects
• Exposure to cloud platforms, Docker, Git, or basic DevOps concepts
• Foundational understanding of web development
• Strong problem-solving skills, learning agility, and ability to collaborate effectively in cross-functional teams
• Working proficiency in English with confidence collaborating with international teams

SKILLS: 

• Computer Vision expertise – hands-on experience with CV libraries and models (OpenCV, YOLO, etc.)
• Machine Learning – solid understanding of ML algorithms and model development
• Python proficiency – demonstrated ability to write production-quality Python code

Additional Information

#LI-SW1

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 jobs.accommodations@wdc.com 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 compliance@wdc.com.

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.