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Apple Decision Support Data Scientist Singapore 611112097
30.08.2024
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Description
As a Data Scientist in our organization, you will engage in comprehensive statistical analysis and employ machine learning to generate predictive insights that drive business decision-making. Your role includes detailed analysis of complex datasets to discover trends and forecast outcomes, which will shape strategic initiatives. Working in tandem with our data engineering team, you'll aim to bolster our data infrastructure, enabling sophisticated predictive modeling. A crucial part of your job will be to not only articulate these predictive insights to senior leadership with clarity but also to operationalize these models, ensuring they are integrated effectively into business processes for real-world applications. Additionally, you are expected to continuously refine our analytical methodologies to keep pace with the evolving landscape of predictive analytics technology.
Minimum Qualifications
- 7+ years of practical experience in a data science role, with experience in implementing large AI/ML projects.
- Skilled in the use of statistical tools and programming (including Python, SQL).
- Proven experience with machine learning libraries and frameworks.
- Strong understanding of data structures and algorithms, as well as database management systems.
- Excellent problem-solving abilities and experience in hypothesis-driven statistical testing.
- Proven track record in operationalizing models and integration into business processes.
- Ability to translate complex data insights into actionable business strategies.
- Exceptional communication and collaboration skills, with a track record of successful cross-functional collaboration.
- Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Preferred Qualifications
- Strong knowledge of supply chain processes including demand forecasting, inventory management, and replenishment.
- Experience with Operations Research and optimization techniques.
- Experience with generative AI, including applications such as Retrieval-Augmented Generation (RAG), data retrieval, orchestration, and tool calling.
- Demonstrated skill in data visualization and communication tools (e.g., Tableau).
- Ph.D. in Data Science, Statistics, Computer Science, or a related field.
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