Data Analytics Engineer

  • Full-time
  • Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
  • Business Function: Manufacturing Engineering
  • Work Location: Bayan Lepas PN1--LOC_WDT_MY0703

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

The Data Analytics Engineer, will be responsible for supporting the advanced analytics capabilities. This individual will work closely with Engineering and Analytics teams to identify, design, develop, evaluate, and implement statistical analysis and modeling applications and tools that can be used to support business decisions.

RESPONSIBILITIES : 

Regular

  • Responsible for leading the successful delivery of Advanced Analytics solutions and services and is an experienced consultant in the areas of optimization, simulation, and/or predictive analytics.
  • Typical tasks include defining the key business problems to be solved, formulating mathematical approaches to solve those problems, gathering of data to solve those problems, and finally developing analyzing/drawing conclusions & giving the presentations.
  • Determines the relevant and compelling questions to ask and helps the team understand the potential meaning that can be extracted from their data by applying big data analytics, statistics, and machine learning techniques.

Advanced Analytics Execution

  • Collaborate with Engineers, Data Scientists, Data Modelers, and Analytics Champions to cultivate leading-edge skills to help solve critical problems with new/promising tools
  • Design, develop, and implement data analysis and statistical modeling solutions that can efficiently analyze large data and build predictive models to support decision making using off the shelf tools (e.g. SAS,R) and software (e.g. Python, Java, C/C++, .NET)
  • Maintain knowledge on current and emerging developments and trends in the analytics space. Assess the impact, and collaborate with management to incorporate new trends and developments in current and future strategies.
  • Proactively identify opportunities for Media Operation to deliver innovative solutions to internal issues/challenges and situations where leading edge technological innovations can be deployed to business advantage      

Ad Hoc/Complex Analytics

  • Collaborate with Project Data Architects to identify new data sources and integration
  • Perform ad hoc/ custom data mining & analysis to answer cross-division business questions and deliver solutions utilizing advanced techniques
  • Direct the technical design discussions on select projects; ensure requirements are translated, formatted and integrated into project design and understood by key stakeholders

Qualifications

  • Bachelor Degree/ Master Degree in Data Science, Computer Science, Statistic or any relevant field.
  • At least 4 years experience in mathematical optimization
  • At least 4 years experience in semi-supervised learning & ensemble methods, decision trees, neural networks & risk modeling
  • At least 4 years experience in modeling & mining large datasets using technologies such as R, Matlab, SAS, SPSS
  • At least 4 years experience in data analytics & deployment of models and algorithms into a production environment in order to analyze extremely large volumes of structured data
  • At least 4 years experience in applying advanced analytics techniques in a consulting environment

Additional Information

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.

NOTICE TO CANDIDATES: Western Digital has received reports of scams where a payment is requested on Western Digital’s behalf as a condition for receiving an offer of employment. Please be aware that Western Digital 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 [email protected].

Privacy Policy