Data Scientist 2

6 months ago

Petaling Jaya, Malaysia Western Digital Full time

**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** Summary**:
**Responsibilities**
- Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
- Researching and developing scalable computer vision and machine learning solutions for complex problems
- Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
- Leverage data mining techniques in mathematics, statistics, information technology, machine learning, deep learning, data engineering, visualization etc to discover insightful patterns.
- Deploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow to ensure scalability and reproducibility.
- Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, AR, Computer vision and Visualization/Web App) independently and delivered on time.
- Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
- Translate User Request into Analytics Solution from a system perspectivePrepare and deliver presentations with data visualizations and business conclusions.
- Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

**Qualifications** Qualification**
- Masters or Bachelor's 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 encouraged to apply.

**Skills**
- Required: Python, TensorFlow framework, Chatbot, Augmented Reality, Computer Vision
- Optional: NLP, NLU, RASA Framework
- Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab, SPSS, R Enterprise Miner, Enterprise Guide, SAS coding.
- SQL, Relational databases, Big Data platforms, AWS Redshift, PRESTO, ETL, SSIS etc.
- Some experience with web front end development:.NET, VB.NET, C#, HTML/CSS, JavaScript, NodeJS, JQuery & Angular
- 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 (Spotfire, PowerBI, Grafana)
- The ability to problem solves 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

**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

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