Job Description

As a Data Science Technologist, you will establish and drive the vision for digital process and transformation in the operations. In this role, you will collaborate and/or lead a team involving areas of 4IR technologies, engineering, manufacturing, development etc to solving sophisticated problems with solutions.

Focus Areas:

• Establish and drive enterprise roadmap and strategy that will propel the operations to be most advanced factory in the industry
• Enabling sophisticated modeling and algorithm across a broad spectrum of problems / opportunities to accelerate technology solutions and decision making
• Use diverse data streams for infuse autonomous intelligence into operations to increase agility and resilience

Successful candidate will have a successful track record of digital transformation and thought-leader. The individual is comfortable working in a multifaceted, iterative environment that also affords the stability of a global, well-established technology company. You will enable a broad focus across technology development initiatives exploring capabilities with artificial intelligence, advanced analytics, cognitive computing, machine learning, optimization, etc.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Establish and drive enterprise roadmap and strategy for the smart manufacturing using artificial intelligence, cognitive computing, physics-based modeling, data analytics, RPA etc
• Interact with functional subject matter experts from Process, Design, Development, Product Engineering, and Systems teams, to identify and deliver solutions and discover areas of the business that can be made autonomous and smarter
• Partner with various stakeholders in the business to identify capabilities and deploy solutions that generate high financial, operational and sustainability impact
• Provide guidance on innovative analytical tools, methodologies, applications and technologies

SKILLS:

• Results-oriented, with a growth and imaginative mindset and strong dedication and passion to identify and implement improvement opportunities. Strong drive for results.
• Strong analytical skills
• Excellent written and verbal English-language communication and presentation skills
• Proven track record to perform in an environment characterized by volatility, uncertainty, complexity, and ambiguity (VUCA)
• Strong influencing skills and the ability to build strong interpersonal relationships
• Ability to assume high exposure responsibilities and interact with senior leadership
• Demonstrated capability to build highly effective and engaged teams
• Strong project management and organizational change skills and experience
• Ability to execute requests with strong attention to detail and strong time-management skill

Qualifications

• PhD or Master’s degree in an Engineering or Science field; additional informative experience in Data Science preferred
• At least 5-10 years of related experience in management or thought-leadership positions with excellent knowledge in data science and business acumen
• Experience in large technology company in process technology, product technology, design, or systems level development
• Consistent track record forming successful teams from scratch, managing under tight deadlines and providing mentorship on strategies
• Deep experience in solving business problems across functions by translating them into solutions with measurable high business value
• Demonstrated expertise in managing impact through others by leading full life cycle engagement from strategy to design and implementation
• Demonstrated ability to collaborate with teams and key partners, both in and outside the organization, to develop highly effective working relationships
• Solid understanding and hands on experience with Machine Learning/AI, Robotics, Cognitive computing, optimization, etc
• Expert knowledge of statistical programming languages such as R, Python and SQL
• Experience crafting a Data Science Roadmap and executing the vision behind it
• 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 other

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Equal Employment Opportunity is the Law" poster.

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 Careers.Accommodations@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.