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.
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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.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize business performance and/or improve KPIs
- Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning / AI models to drive business value and improve KPIs
- Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights
- Design and analyze experiments to test new ideas. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions
- Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights
- Initiate and drive projects to completion independently
- Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects and initiatives
- Provide technical guidance and mentorship to junior team members on solution design
- Develop and code, software programs, algorithms, typically on very large datasets, from multiple sources, including IoT devices/sensors
- Assists in the design of user interface and business application prototypes
- Interprets actionable insights from large data and metadata sources and communicates the findings to product, service, and business leaders for product improvement
REQUIRED:
- Ph.D. or Master's Degree in related fields and research projects related to Analytics/Data Science with relevant industry or academia experience.
- At least 8 years of experience with SQL, Relational databases, Big Data platforms, AWS etc.
- Background in at least one programming language (eg. R, Python, Java, Scala/Spark)
- 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 with manipulating massive-scale structured and unstructured data.
- Experience in solution architecture and its technology stacks and components. Familiarity with common data modeling approaches and good understanding of how to deal with various datatypes, larger data sets and parallel computing problems.
- Experience leading projects that span the fields of data science and data engineering using cluster computing environments such as Spark, Hadoop, cloud, and others
PREFERRED:
- Agile Certified is an added advantage
- Passion to teach others about data science and continue to learn new techniques. Monitor the market for emerging technologies for adoption and work on proof of concepts then scale for full deployment.
SKILLS:
- Excellent written and verbal English-language communication and presentation skills
- Analytical mind and business acumen. Application understanding of machine-learning and operations research
- Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives. A great team player.
- Solid understanding and hands-on experience with Machine Learning/AI, Robotics, Cognitive computing, optimization, etc
- Results-oriented, with growth and imaginative mindset and strong dedication and passion to identify and implement improvement opportunities. Strong drive for results.
- Proven track record to perform in an environment characterized by volatility, uncertainty, complexity, and ambiguity (VUCA)
- Ability to execute requests with strong attention to detail and strong time-management skills
- Proficiency in Agile Project Management.
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 staffingsupport@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.
