Product Support Data Scientist

Job Description

Job Ttitle: Product Support Data Scientist

Company: Apple


Description: Imagine what you could do here. At Apple, great new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish! The Support Insight Data Scientist is responsible for deriving insights into the software quality of Apple’s products. This is an exciting opportunity to directly impact our customers’ experience and support Apple products throughout their life cycle.Description DescriptionThe Core Functions of this role are as follows: Craft and implement machine learning models, establish algorithms, and build tools to identify anomalies in metrics related to software field performance and product quality, while gaining a deep understanding of why customers contact Apple for support. Use the output from those tools and models to help teams around Apple understand what product and software improvements are priorities to address. Other Key Functions of this role include: Collaborate with cross-functional teams to establish relationships, find opportunities, develop performance indicators, and communicate complex data analyses. Build and refine anomaly detection tools and algorithms, improving our ability to identify and respond earlier to emerging signals in our data. Research and implement new technologies and methods in data science, data engineering, and data visualization to elevate the technical proficiency and innovation of our team. Construct and maintain dashboards and self-service tools, facilitating effective data analysis and insights sharing. Handle large, complex data sets and use advanced analytics to tackle challenging problems.Minimum Qualifications Minimum Qualifications

• MA or MS degree in statistical analysis, computer science, data science, or related field.
• 3+ years experience in deploying data science, machine learning, or anomaly detection techniques to solve practical business problems.
• Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences.
• Proficiency in SQL, preferably in Snowflake.
• Experience with anomaly and outlier detection methods and algorithms.
• Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn.
• Experience in quantitative data analysis, possessing a strong ability to conduct in-depth evaluations of complex issues.
• Have a creative approach to engineer innovative features and signals into analytical solutions, pushing the boundaries of current tools and methodologies.
• Experience leveraging Large Language Models (LLMs) to generate, refine, evaluate, and analyze text data for practical applications

Key Qualifications Key QualificationsPreferred Qualifications Preferred Qualifications

• Experience developing methods for integrating knowledge graphs with LLMs to enrich model responses with factual accuracy and context.
• Experience implementing pipelines that allow LLMs to dynamically access and retrieve information from knowledge graphs for complex question-answering tasks.

Education & Experience Education & Experience

Salary:

Location: Sunnyvale, CA

Date: Mon, 09 Dec 2024 08:16:57 GMT


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