Scientist 1, Data Science

1 Month ago • All levels

Job Summary

Job Description

The Scientist 1, Data Science role involves researching and developing scalable computer vision and machine learning solutions. This includes collaborating with cross-functional teams to integrate algorithms and software, as well as developing system prototypes. The role requires leveraging data mining techniques to analyze large-scale data, developing machine learning models, and applying front-tier technology to manufacturing operations. The candidate will also design AR assets and create AR experiences. The role requires a bachelor's degree in Computer Science, Data Science, Computer Engineering, Information Technology or relevant work experience. Fresh graduates are encouraged to apply.

Must have:

Bachelor's degree in Computer Science, Data Science, or related field.
Fresh graduates are encouraged to apply.
Python, Tensorflow framework, Augmented Reality, and Computer Vision.
Practical experience in the application of ML and Deep Learning algorithms.
SQL, Relational databases, Big Data platforms, AWS Redshift, etc.

Good to have:

Several months or 1 year of intern experience in related field.
Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, Enterprise Miner, Enterprise Guide, SAS coding
Some experience with web front-end development: HTML/CSS, JavaScript.

18 skills required

18 skills required for this role

Add these skills to join the top 1% applicants for this job

cross-functional

data-analytics

html

user-experience-ux

prototyping

user-interface

aws

data-science

deep-learning

computer-vision

front-end

python

sql

algorithms

tensorflow

javascript

css

machine-learning

Job Details

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 and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Researching and developing scalable computer vision and machine learning solutions for complex problems
Collaborate in cross-functional teams to integrate image analytics algorithms and software, as well as develop system prototypes
Develop and deploy supply chain optimization systems into manufacturing environment using OR (Operation Research) and discrete event simulation
Leverage data mining techniques in mathematics, statistics, information technology, machine learning, deep learning, data engineering, visualization, et,c to discover insightful patterns
Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning / AI models into application or integrate with any pre-existing systems; demonstrate successful use cases and wins to drive business value
Constantly learn new front-tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs
Design AR assets, coding, enhancing the User Interface & User Experience for end user, along with providing support and ongoing maintenance
To create custom AR (Augmented Reality) experiences for enterprise use cases & set up virtual environments for a wide range of AR scenarios

Qualifications

REQUIRED:

Bachelor's Degree in Computer Science, Data Science, Computer Engineering, Information Technology, or relevant work experience and education background.
Fresh graduates are encouraged to apply
We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience

PREFERRED:

Several months or 1 year of intern experience in related field
Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, Enterprise Miner, Enterprise Guide, SAS coding

SKILLS:

Python, Tensorflow framework, Augmented Reality, and Computer Vision
Optional: Chatbot (added advantage) with NLP, NLU.
Practical experience in the application of ML and Deep Learning algorithms.
SQL, Relational databases, Big Data platforms, AWS Redshift, etc.
Some experience with web front-end development: HTML/CSS, JavaScript.
Ability to learn quickly and become productive on new technologies, APIs, development languages, and frameworks
Self-initiate learner

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 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.

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