Senior Manager of Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job 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 a Data Science Senior Manager, you will execute 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, supply chain, engineering, manufacturing, development, etc to solve sophisticated problems with solutions.

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:

• Execute Digital Innovation roadmap and strategy using artificial intelligence, cognitive computing, physics-based modeling, data analytics, RPA etc
• Interact with functional subject matter experts from Supply Chain, 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
• Interact with business partners and lead discussion to understand the critical to success data needs and provide guidance both technical and best practice process.
• Lead projects that involve any of the upstream or downstream processes.
• Engaged and lead strategic projects with multi-functional internal and external team.

Qualifications

REQUIRED:

• 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

PREFERRED:

• Deep experience in solving business problems across functions by translating them into solutions with measurable high business value
• 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 others

SKILLS:

• Consistent track record forming successful teams from scratch, managing under tight deadlines, and providing mentorship on strategies
• 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
• 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.
• 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 skills
• Proficiency in Agile Project Management. Agile Certified is an added advantage.