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.

Key Responsibilities:

• Data Visualization: Create compelling visualizations and dashboards that effectively communicate insights and support data-driven decision-making.
• Data Analysis: Analyze complex datasets to identify trends, patterns, and anomalies using statistical methods and machine learning techniques.
• Collaboration: Partner with cross-functional teams, including product managers and data analysts, to integrate ML models and visualizations into applications and business processes.
• Documentation: Maintain thorough documentation of modeling processes, data sources, and visualization methodologies.
• Mentorship: Guide junior team members in best practices for machine learning and data visualization techniques.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
• 3+ years of experience in data science, with a strong emphasis on machine learning and data visualization.
• Proficiency in programming languages such as SAS or JMP, Python or R, with experience in ML libraries (e.g., TensorFlow, Keras, scikit-learn).
• Solid experience in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) and the ability to design interactive dashboards.
• Strong understanding of data manipulation and analysis using libraries like Pandas and NumPy.
• Familiarity with SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML services.

Preferred Qualifications:

• Experience with advanced ML techniques, such as deep learning or reinforcement learning.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and their applications in data processing.
• Understanding of data storytelling and the ability to present complex insights clearly to stakeholders.
• Previous experience in an agile development environment.
• Excellent problem-solving skills, creativity, and the ability to thrive in a fast-paced setting.
• Strong communication skills to effectively convey technical concepts to non-technical audiences.

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.