Western Digital Staff Engineer Data Analytics Engineering 

Philippines, Baguio 

642759771

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.