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Human Centered Ai - Data Scientist Ase jobs at Apple in Singapore
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28 jobs found
26.08.2025
A
Apple Sales - Technical Data Analyst Singapore
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Act as a primary point of contact for production support of our business data systems and ETL pipelines. Proactively monitor system performance, data loads, and pipeline health to identify and...
Description:
- Act as a primary point of contact for production support of our business data systems and ETL pipelines.
- Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
- Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
- Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
- Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
- Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
- Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
- 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
- BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
- Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
- A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
- Proficiency in advanced SQL, including performance tuning and writing complex queries.
- Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
- Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
- Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
- Familiarity with version control systems (Git) and CI/CD practices.
- Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
- Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
- Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
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25.08.2025
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Apple AIML - Data Operations Annotation Analyst Vietnamese months ... Singapore
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Vietnamese reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills with...
Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements.This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
- Vietnamese reading, writing, and comprehension skills to support the language specific market
- Fluency in English reading, writing and comprehension skills to partner with international teams
- Excellent active listening skills with the ability to understand verbal nuances
- Understanding of the local region and cultural variations
- Demonstrates integrity and focuses on customer privacy
- Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
- Highly organized with strong attention to detail
- Ability to independently navigate systems and tools
- Experience in content review or a similar environment, prior testing experience preferred
- Demonstrates flexibility and adaptability to changing work-flows and responsibilities
- Grows with a team where expertise is shared and feedback is welcomed
- Excels at working independently to make timely decisions and take appropriate actions
- Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
- Successfully meets or exceeds targets, working within tight deadlines
- Ability to identify business process solutions that increase efficiencies
- Ability to maintain focus and aim for high results through large volumes of tasks
- Ability to work on safety data which could include offensive material
- Thrives in repetitive work and ambiguous scenarios
- Bachelor’s degree or equivalent job-related experience
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25.08.2025
A
Apple AIML - Data Operations Annotation Analyst Korean months cont... Singapore
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Korean reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills with...
Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements. This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
- Korean reading, writing, and comprehension skills to support the language specific market
- Fluency in English reading, writing and comprehension skills to partner with international teams
- Excellent active listening skills with the ability to understand verbal nuances
- Understanding of the local region and cultural variations
- Demonstrates integrity and focuses on customer privacy
- Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
- Highly organized with strong attention to detail
- Ability to independently navigate systems and tools
- Experience in content review or a similar environment, prior testing experience preferred
- Demonstrates flexibility and adaptability to changing work-flows and responsibilities
- Grows with a team where expertise is shared and feedback is welcomed
- Excels at working independently to make timely decisions and take appropriate actions
- Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
- Successfully meets or exceeds targets, working within tight deadlines
- Ability to identify business process solutions that increase efficiencies
- Ability to maintain focus and aim for high results through large volumes of tasks
- Ability to work on safety data which could include offensive material
- Thrives in repetitive work and ambiguous scenarios
- Bachelor’s degree or equivalent job-related experience
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25.08.2025
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Apple Sales - Data & Insight Manager Southeast Asia Singapore
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Experience in the retail industry. 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position. Solid...
Description:
* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship* Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML* Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges* Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies* Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region* Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team* Develop partnership with Apple IT team and keep on point on latest in-house technology* Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing* Own and manage portfolio of data management and sales ops processes run by the team
- Experience in the retail industry
- 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
- Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
- Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
- Experience with AI/ML models and their application in data management and insights generation
- Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
- Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
- Exceptional communication and presentation skills
- Experience with UI/UX development, including data visualisation design
- Experience with programming/scripting languages, such as Python
- Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus
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24.08.2025
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Apple Sales - Principal AI Scientist Singapore
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Model Development: Design and implement machine learning models, including traditional ML, optimization, deep learning, reinforcement learning, graph neural networks, and generative AI, to address business challenges in customer acquisition, engagement,...
Description:
The role requires expertise in a wide range of modeling techniques, from traditional ML and optimization to advanced transformer-based architectures and LLM-powered components, applied to real-world, high-impact problems.
- Model Development: Design and implement machine learning models, including traditional ML, optimization, deep learning, reinforcement learning, graph neural networks, and generative AI, to address business challenges in customer acquisition, engagement, and retention.
- Algorithm Innovation: Develop novel algorithms and optimization techniques to solve complex problems, ensuring scalability and performance in production environments.
- Model Validation: Invent and implement robust validation strategies to ensure model accuracy, reliability, and generalizability, leveraging both quantitative metrics and qualitative insights.
- Data Processing: Work with large-scale datasets, utilizing advanced data processing techniques to extract meaningful insights and prepare data for modeling.
- Productionization: Deploy and maintain machine learning models in production, ensuring high performance, scalability, and reliability.
- Multi-Functional Collaboration: Partner with sales, engineering, analytics, and other teams to align ML solutions with business objectives and integrate them into user-facing systems.
- Continuous Improvement: Stay abreast of the latest advancements in AI/ML and propose innovative approaches to enhance existing solutions.
- Professional Experience: Minimum of 10 years of professional experience in machine learning, artificial intelligence, data science, or related fields, with a proven track record of delivering impactful ML solutions in industry settings.
- Educational Background: Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Operations Research, or a related field, or equivalent professional experience.
- Operations Research Expertise: Strong background in operations research, with hands-on experience applying optimization techniques (e.g., linear programming, dynamic programming, combinatorial optimization) to solve complex, real-world problems in sales or related domains.
- Advanced AI/ML Knowledge: Deep understanding of machine learning principles, including supervised and unsupervised learning, deep learning, reinforcement learning, graph neural networks, and generative AI. Proficiency in practical implementation, hyper-parameter tuning, and performance optimization is essential.
- Algorithm Development: Exceptional ability to design and implement novel algorithms tailored to specific business needs, with a focus on scalability and efficiency.
- Validation Expertise: Proven ability to develop innovative validation frameworks to assess model performance, ensuring robustness and reliability in production environments.
- Python Proficiency: Exceptional programming skills in Python, with experience writing clean, efficient, and maintainable code. Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or similar is highly desirable.
- SQL Competence: Strong ability to write complex SQL queries to extract, transform, and analyze large datasets from relational databases.
- Multi-functional Collaboration: Excellent communication and collaboration skills to work effectively with diverse teams and translate business requirements into technical solutions.
- Experience with Large-Scale Systems: Practical experience building and deploying ML models at scale, with a focus on real-world applications.
- Experience with transformer-based architectures or large language models (LLMs) for personalization or other applications.
- Familiarity with cloud-based ML platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks.
- Knowledge of sales and customer engagement processes, particularly in a global context.
- Ph.D. in Machine Learning, Computer Science, Mathematics, Operation Research, or a related field.
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04.08.2025
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Apple Sales - Senior AI Backend Software Engineer Digital Channel Singapore
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8+ years of related experience. Bachelor's degree in Software Engineering/Computer Science/Information Science/Engineering. Deep experience with Relational databases and NoSQL databases. Advanced / expert programming skills in C++, Java, Python, SQL,...
Description:
- 8+ years of related experience.
- Bachelor's degree in Software Engineering/Computer Science/Information Science/Engineering.
- Deep experience with Relational databases and NoSQL databases.
- Advanced / expert programming skills in C++, Java, Python, SQL, Golang.
- Demonstrated project experiences with the following tools / platforms: Apache Storm, Flink, Druid, Apache Kafka, Airflow, Presto.
- Experience with Docker, Kubernetes and cloud computing platforms.
- Familiarity with version control systems, modern CI/CD practices, testing, and migration tools for database and software.
- Understanding of Automation, Deployment, and Infrastructure as Code concepts using tooling such as Terraform, Ansible, etc.
- Understanding of security and networking principles.
- Demonstrated project experience on large-scale distributed system or machine learning batch inference system.
- Understanding of accessibility best practices is a plus.
- Comfort with ambiguity and ability to bring clarity to early-stage product ideas.
- Excellent communication and collaborative skills.
- Outstanding problem-solving, critical thinking, and analytical skills.
- Ability to navigate ambiguity and work effectively in a fast-paced, multi-functional environment.
- Master of Science degree is a plus.
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04.08.2025
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Apple Sales - AI Engineering Manager Product & Architecture Singapore
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10+ years of experience in Machine Learning and Software Engineering experiences with successful launch of large scale consumer facing Commerce products WW. 5+ years leading product and program teams and...
Description:
We are looking for a highly skilled and experienced AI Engineering Manager to lead the development and strategy of next generation AIML Products, Platforms and Architecture from 0-1n. In this role, you will be at the forefront of sharping the future of this transformative technology, drive the vision, roadmap, and execution of innovative AI solutions that leverage generative models to create captivating user experiences across our product lines.
Product development and execution - Own the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. - Conduct user research and gather feedback to inform product iterations and improvements. - Create compelling product documentation and presentations for internal and external stakeholders. - Deep understanding of Machine Learning and Software Development and a strong interest in user experience. Performance Management - Define key performance indicators (KPIs) and metrics to measure performance of AI Powered products. - Monitor and analyze performance data, providing key insights and recommendations for continuous improvement. - Advocate for data-driven decision making across the organization.
- 10+ years of experience in Machine Learning and Software Engineering experiences with successful launch of large scale consumer facing Commerce products WW.
- 5+ years leading product and program teams and managing direct reports.
- Master’s degree in Computer Science, AI, Machine Learning or a related technical field.
- Successful track record of working closely with design and engineering teams during the full product lifecycle, including research, planning, implementation and launch.
- Experience positioning and launching of new AI powered products.
- Extraordinary verbal and written communication skills.
- Ability to filter and distill relevant information for the right audience.
- Demonstrated ability to develop compelling talking points and stories about new AI powered product and technologies for a broad audience including internal/external stakeholders, leaderships, users etc.
- Strong experience leading cross-functional initiatives with a clear impact on the direction of products.
- Strong organizational skills, able to handle ambiguity with experience in thriving in a startup environment within a large organization.
- Strong python and software development coding experience, with the ability to build 0-1 product by oneself if needed.
- Proven customer focus and curiosity.
- Demonstrates attention to detail and enjoys both hands-on work and high-level strategic thinking.
- Experienced building new relationships and collaboration within Apple teams in different organizations with official leadership visibility to help accelerate technology or product development.
- Deep understanding of Apple Culture, Tools & Process, providing new team members with the ability to thrive at Apple.
- Experienced setting up new process, tools, KPIs from ground up.
- Break barriers and out of the box thinker.
- Analytical and strategic thinker.
- Problem solver with a proactive approach.
- Collaborative mindset, team player and willing to mentor team members.
- Able to influence without authority.
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Act as a primary point of contact for production support of our business data systems and ETL pipelines. Proactively monitor system performance, data loads, and pipeline health to identify and...
Description:
- Act as a primary point of contact for production support of our business data systems and ETL pipelines.
- Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
- Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
- Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
- Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
- Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
- Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
- 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
- BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
- Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
- A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
- Proficiency in advanced SQL, including performance tuning and writing complex queries.
- Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
- Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
- Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
- Familiarity with version control systems (Git) and CI/CD practices.
- Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
- Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
- Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
Show more
These jobs might be a good fit
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