Scientist 4, Data Science
San Jose, CA, United States
Western Digital
Western Digital, leaders in digital storage solutions compatible with Mac and PC. FREE shipping, friendly support, and 30-day return policy on storage products.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
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Act in the capacity of a Data Science Solutions Lead for an array of advanced analytics solutions developed in collaboration between AAO and corporate functions such as HDD & Flash Business Units, Logistics & Supply-Chain, Procurement, Sales & Marketing, Finance, HR etc.
- Translate business questions and concerns into specific analytical frameworks that can be answered using statistical and machine learning methods.
- Use good judgment when and where it’s appropriate to use data mining & visualization vs. sophisticated Machine Learning algorithms such as NLP, time-series forecasting, recommendation engines, reinforcement learning etc to solve the business problem at hand.
- Make meaningful recommendations to AAO & corporate functions’ leadership team when it makes business sense to “make” vs. “buy” commercially available solutions.
- Effectively leverage & coach AAO’s talent pool of Data Scientists, ML Engineers, Data Engineers & Software Developers to build, test and scale advanced analytics solutions.
- Own end-to-end solution architecture from design, development, prototyping to production.
- Communicate complex findings in a structured and clear manner to a non-technical audience.
- Partner with AAO’s Analytics Business Partners (ABP) and relevant SMEs from corporate functions to understand business requirements, context & strategy to develop and execute to an advanced analytics roadmap.
Qualifications
REQUIRED
- BS in a quantitative discipline such as Computer Science, Engineering, Statistics and an MBA or MS in Business Analytics.
- Bachelors & 5+ years or Masters & 4+ years of industry experience in an analytics function related to demand forecasting, supply chain analytics or data science for a business function.
- Strong theoretical understanding & hands-on experience in statistical data analysis, AI & ML techniques (e.g., supervised and unsupervised modeling, NLP, Time-series forecasting, recommendation engines, reinforcement learning) and common data analytics tools (e.g., Python, R, PyTorch, Tensorflow etc).
- Experience with Database Technologies (SQL, NoSQL), Big Data Technologies (Hadoop, Hive, Spark) and Cloud Technologies (AWS, GCP).
SKILLS
- Ability to work independently and with team members from different backgrounds.
- Proven ability to convey rigorous technical concepts and considerations to non-experts.
- Strong problem solving and critical thinking skills.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
Additional Information
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 jobs.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.
#LI-RR1
Compensation & Benefits Details
- An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
- The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
- You will be eligible to participate in Western Digital’s Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital’s Standard Terms and Conditions for Restricted Stock Unit Awards.
- We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Western Digital Savings 401(k) Plan.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data Business Analytics Computer Science Data analysis Data Analytics Data Mining Engineering Finance GCP Hadoop Machine Learning NLP NoSQL Prototyping Python PyTorch R Reinforcement Learning Spark SQL Statistics TensorFlow
Perks/benefits: Career development Competitive pay Equity Flex vacation Health care Insurance Medical leave Salary bonus
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