ESSENTIAL DUTIES AND RESPONSIBILITIES:
As a Data Scientist, you will be working on Digital Innovation projects leveraging 4IR and cutting-edge technologies. You will be collaborating with Data Science Team to design and build analytics tools/models/analytics to accelerate digital technologies adoption and unlock business value from data insights. You are required to constantly learn new front-tier technology and creatively apply/deliver solutions to support Global Ops Strategy and goals.
- Work with a team of data science professionals, and cross-functional teams to understand business problem, identify business opportunities, optimize business performance and/or improve KPIs.
- Leverage data mining techniques in mathematics, statistics, machine learning, deep learning, NLP, LLM, GenAI visualization etc. to discover insightful patterns.
- Analyze large-scale structured and unstructured data to develop AI/ML models that enhance business value and KPIs, while deriving actionable insights and communicating them to leaders for product improvement.
- Develop/take an idea to create prototype AI/ML models with intuitive interfaces, integrating with existing systems and showcasing successful use cases.
- Prepare and deliver presentations with data visualizations and business conclusions.
REQUIRED:
- Bachelor's Degree or Master's Degree in related fields and research projects related to Analytics/Data Science with relevant industry or academia experience.
- Background in at least one programming language (e.g. Python, Java, Scala/Spark)
- Experience with SQL, Relational databases, Big Data platforms, AWS, Hadoop, Hive, Presto, and etc.
- Experience in applied statistic, practical experience in the application of AI/ML algorithms, models’ deployment and E2E model management through docker image, container and MLOps.
- Experience working with structured and unstructured data sources. Familiarity with modeling approaches and good understanding of how to deal with various datatypes, larger data sets and parallel computing problems.
- Experience in solution architecture, its technology stacks, and components.
PREFERED:
- Excellent knowledge of at least one of the following programming languages / frameworks: Python, Java, SQL, Scala/Spark
- Excellent knowledge of the AI/ML Model development, Lifecycle Management (Modelling, Integration/Deployment, Data/Model drift detection, Model retraining, etc.)
- Up-to-date knowledge and skills in recent AI/ML tools and techniques such as Deep Learning, NN, LLM, GenAI and etc.
- Knowledge of web front-end development: HTML/CSS, JavaScript
- Familiar with collaborative solutions, model & code versioning (Github), solution packaging (Docker)
- Practical experience of cloud-based solutions is a strong plus.
- Passion for Innovation, continue learning new techniques. Monitor the market for emerging technologies for adoption and work on proof of concepts then scale for full deployment.
SKILLS:
- Strong knowledge and experience with Python, or other statistical software
- Familiarity with core techniques in statistical and AI/ML e.g. regression, boosting algorithms, cross-validation, NN, LLM, GenAI and data visualization.
- Ability to deploy data science solutions in cloud analytics infrastructure and AWS.
- Ability to solve problems and provide complex solutions with limited direction.
- Analytical mind, creative problem-solving skills, and business acumen. Application understanding of AI/ML and operations research.
- Excellent communication and presentation skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives
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.
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