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Apple Support Knowledge Data Scientist United States, North Carolina, Cary 533162761
12.12.2024
Minimum Qualifications
- MA or MS degree in statistical analysis, computer science, data science, ontology, knowledge graphs, applied mathematics, or related field.
- 10+ years experience in deploying graph based data science or machine learning 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. Proficiency in graph query languages.
- 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, or analyze text data for practical applications
- Demonstrated experience in leading data science projects through all phases including exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.
- Proficiency with knowledge graph tools and frameworks
- Experience with data integration and entity resolution to consolidate disparate data sources into a coherent graph structure
- Ability to apply graph-based algorithms (e.g., pathfinding, clustering, recommendation) to extract insights or improve analytics.
Preferred Qualifications
- PhD in graph machine learning, or knowledge graph related fields.
- Experience building web based graph visualization and analytics tools.
- 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.
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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