Engineer, Data Analytics

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

As an Engineer - Data Analytics, you will be working on Digital Innovation projects leveraging 4IR technologies. You will be collaborating with Data Science Team to design and build Big Data tools/models/analytics to unlock business value from data insights. You are required to constantly learn new front-tier technology and creatively apply/deliver solutions to manufacturing operations to meet goals. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work with a global team of data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
• Leverage data mining techniques in mathematics, statistics, information technology, machine learning, deep learning, data engineering, visualization etc to discover insightful patterns.
• Work on projects and develop solutions that would be of high impact to various areas at all manufacturing.
• Develop/take an idea, access and prepare necessary data to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins.
• Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process, ERP/MES data etc to extract meaningful information for analytics.
• Design, model and prototype machine learning models and algorithms to solve specific Supply Chain, Manufacturing, Inventory Management & Distribution problems.
• Strong understanding of business strategy to develop a clear vision of data science
• The ability to develop, tune, and deploy predictive models that explain or predict business outcomes
• Prepare and deliver presentations with data visualizations and business conclusions
• Develop and code, software programs, algorithms, typically on very large datasets, from multiple sources, including IoT devices/sensors
• Interprets actionable insights from large data and metadata sources and communicates the findings to product, service, and business leaders for product improvement

Qualifications

REQUIRED:

• Bachelor's Degree or Master's Degree in related fields and research projects related to Analytics/Data Science with relevant industry or academia experience.
• Experience with SQL, Relational databases, Big Data platforms, AWS, etc.
• Experience in applied statistics and statistical modeling. Practical experience in the application of ML and AI algorithms.
• Experience with Hadoop or other MapReduce paradigms, and associated languages such as Hive, Presto, etc.
• Experience working with structured, semi-structured, and unstructured data sources

PREFERED: 

• Full stack development experience is preferred
• Knowledge of web front-end development: HTML/CSS, JavaScript (JQuery or Angular preferred)
• Knowledge of Hadoop Environment, including Hive, Map Reduce, No/SQL, HBase, and Spark
• Excellent knowledge of at least one of the following programming languages / frameworks: Python, R, Java, Matlab, SQL, Scala
• Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker)
• Practical experience of cloud-based solutions is a strong plus.
• Knowledge of Software En