Scientist 1, Data Science

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**:
**Responsibilities**:

- 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 & setup virtual environments for a wide range of AR scenarios
- 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 etc to discover insightful patterns.
Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

**Qualifications**:

- Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
- We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.
- Preferably minimum 1-2 years of working experience in related field
- Fresh graduates are also encouraged to apply
**Skills**
**Required**:

- Python, Tensorflow framework, Augmented Reality, Computer Vision
**Optional**:

- Chatbot (added advantage) with NLP, NLU
- Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, Enterprise Miner, Enterprise Guide, SAS coding.
SQL, Relational databases, Big Data platforms, AWS Redshift etc.
- Some experience with web front end development: HTML/CSS, JavaScript, (JQuery or Angular preferred)
- Ability to learn quickly and become productive on new technologies, APIs, development languages and frameworks.
- Experience in data mining, data wrangling, and handling JSON, CSV files.
- Hands on experience with Docker, Kubernetes etc
- Experience with data visualization methods
- The ability to problem solve and provide complex solutions with mínimal supervision
- Knowledge of Agile development, SCRUM and Application Lifecycle Management
- Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.
- Self-motivated, strong ownership and ability to work independently with mínimal supervision
- Knowledge of Agile development process

Additional Information
All your information will be kept confidential according to EEO guidelines.