AIML - Sr Data Scientist -Siri, Evaluation
Apple
AIML - Sr Data Scientist -Siri, Evaluation
Job Description
Would you like to shape the future of intelligent assistants? Contribute to redefining how people use language to interact with their devices across billions of requests and tasks? We are looking for a Sr Data Scientist to contribute to product understanding and development of the Siri AI Assistant. This role involves using analytical and engineering methods augmented by LLMs and python to develop conceptual and analytical models and perform insights analyses to uncover product quality issues that can inform improving the overall user experience. As a Sr Data Scientist for Siri, you will use statistical and LLM analysis of structured and linguistic data to deepen our understanding of Apple’s AI assistant Siri and support the development of future versions. - Investigate world-wide product usage to identify weaknesses and chances to create the product better. - Define metrics and instrumentation strategies to assess the success of new features. - Build relationships with Engineering leads and product partners across the Siri product ecosystem to drive a privacy-first strategy for analytical insight. - Employ a diverse toolkit of detailed analytical approaches, methodologies, frameworks, and technical strategies with a particular focus on language data analysis. - Build credibility with partners through clarity and structured, critical thinking.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- analytical methodsintermediate
- engineering methodsintermediate
- LLMsintermediate
- Pythonintermediate
- statistical analysisintermediate
- LLM analysisintermediate
- structured data analysisintermediate
- linguistic data analysisintermediate
- product usage investigationintermediate
- metrics definitionintermediate
- instrumentation strategiesintermediate
- relationship buildingintermediate
- privacy-first strategyintermediate
- analytical approachesintermediate
- methodologiesintermediate
- frameworksintermediate
- technical strategiesintermediate
- language data analysisintermediate
- critical thinkingintermediate
Required Qualifications
- 5+ years of data science experience applying quantitative methods to structured and unstructured data for exploratory data analysis, pattern recognition, metrics development, and analytical insights. (experience, 5 years)
- Strong programming skills in Python and SQL, with experience in data manipulation, processing, and analytics pipelines. (experience)
- Experience with LLM-driven analytics workflows, using Python coding frameworks and evaluation pipelines. (experience)
- Proven ability to analyze user behavior, design and interpret A/B experiments, and translate findings into product improvements. (experience)
- Master degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Linguistics, or Physics. (PhD preferred). (degree in a technical or quantitative field such as statistics)
Preferred Qualifications
- Experience with Natural Language Processing (NLP) and LLMs. (experience)
- Experience with development of dataset and analysis conceptual methodologies. (experience)
- Self-motivated and curious with demonstrated creative and critical thinking capabilities and a highly developed drive to determine and improve how things work. (experience)
- Excellent communication skills—able to synthesize analyses into clear insights and influence multi-functional partners. (experience)
- High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize. (experience)
- Demonstrated experience in encouraging partner relationships and influencing decisions with data. (experience)
Responsibilities
- As a Sr Data Scientist for Siri, you will use statistical and LLM analysis of structured and linguistic data to deepen our understanding of Apple’s AI assistant Siri and support the development of future versions.
- - Investigate world-wide product usage to identify weaknesses and chances to create the product better.
- - Define metrics and instrumentation strategies to assess the success of new features.
- - Build relationships with Engineering leads and product partners across the Siri product ecosystem to drive a privacy-first strategy for analytical insight.
- - Employ a diverse toolkit of detailed analytical approaches, methodologies, frameworks, and technical strategies with a particular focus on language data analysis.
- - Build credibility with partners through clarity and structured, critical thinking.
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Answer 10 quick questions to check your fit for AIML - Sr Data Scientist -Siri, Evaluation @ Apple.
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AIML - Sr Data Scientist -Siri, Evaluation
Apple
AIML - Sr Data Scientist -Siri, Evaluation
Job Description
Would you like to shape the future of intelligent assistants? Contribute to redefining how people use language to interact with their devices across billions of requests and tasks? We are looking for a Sr Data Scientist to contribute to product understanding and development of the Siri AI Assistant. This role involves using analytical and engineering methods augmented by LLMs and python to develop conceptual and analytical models and perform insights analyses to uncover product quality issues that can inform improving the overall user experience. As a Sr Data Scientist for Siri, you will use statistical and LLM analysis of structured and linguistic data to deepen our understanding of Apple’s AI assistant Siri and support the development of future versions. - Investigate world-wide product usage to identify weaknesses and chances to create the product better. - Define metrics and instrumentation strategies to assess the success of new features. - Build relationships with Engineering leads and product partners across the Siri product ecosystem to drive a privacy-first strategy for analytical insight. - Employ a diverse toolkit of detailed analytical approaches, methodologies, frameworks, and technical strategies with a particular focus on language data analysis. - Build credibility with partners through clarity and structured, critical thinking.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- analytical methodsintermediate
- engineering methodsintermediate
- LLMsintermediate
- Pythonintermediate
- statistical analysisintermediate
- LLM analysisintermediate
- structured data analysisintermediate
- linguistic data analysisintermediate
- product usage investigationintermediate
- metrics definitionintermediate
- instrumentation strategiesintermediate
- relationship buildingintermediate
- privacy-first strategyintermediate
- analytical approachesintermediate
- methodologiesintermediate
- frameworksintermediate
- technical strategiesintermediate
- language data analysisintermediate
- critical thinkingintermediate
Required Qualifications
- 5+ years of data science experience applying quantitative methods to structured and unstructured data for exploratory data analysis, pattern recognition, metrics development, and analytical insights. (experience, 5 years)
- Strong programming skills in Python and SQL, with experience in data manipulation, processing, and analytics pipelines. (experience)
- Experience with LLM-driven analytics workflows, using Python coding frameworks and evaluation pipelines. (experience)
- Proven ability to analyze user behavior, design and interpret A/B experiments, and translate findings into product improvements. (experience)
- Master degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Linguistics, or Physics. (PhD preferred). (degree in a technical or quantitative field such as statistics)
Preferred Qualifications
- Experience with Natural Language Processing (NLP) and LLMs. (experience)
- Experience with development of dataset and analysis conceptual methodologies. (experience)
- Self-motivated and curious with demonstrated creative and critical thinking capabilities and a highly developed drive to determine and improve how things work. (experience)
- Excellent communication skills—able to synthesize analyses into clear insights and influence multi-functional partners. (experience)
- High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize. (experience)
- Demonstrated experience in encouraging partner relationships and influencing decisions with data. (experience)
Responsibilities
- As a Sr Data Scientist for Siri, you will use statistical and LLM analysis of structured and linguistic data to deepen our understanding of Apple’s AI assistant Siri and support the development of future versions.
- - Investigate world-wide product usage to identify weaknesses and chances to create the product better.
- - Define metrics and instrumentation strategies to assess the success of new features.
- - Build relationships with Engineering leads and product partners across the Siri product ecosystem to drive a privacy-first strategy for analytical insight.
- - Employ a diverse toolkit of detailed analytical approaches, methodologies, frameworks, and technical strategies with a particular focus on language data analysis.
- - Build credibility with partners through clarity and structured, critical thinking.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr Data Scientist -Siri, Evaluation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs