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Apple Data Scientist Machine Learning United States, California, Cupertino 273595971
28.04.2025
A Typical Work Day would be like:Work with large, complex, non-relational datasets to conduct end-to-end analysis that includes problem definition, data gathering, exploratory analysis, hypothesis testing and insight communication with stakeholders.Prototype and productionalize analytical pipelines iteratively to provide insights at scale.Develop comprehensive knowledge of audio data structures and pipelines, advocating for changes where needed for pipeline development.Build, maintain and communicate audio analytics dashboards.
- Strong expertise in applying ML to user behavior data and system telemetry for insights and predictions.
- Strong data visualization and storytelling skills using tools like Plotly, Tableau, or similar BI tools.
- Expertise in extracting insights from large telemetry datasets, with strong programming skills in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
- Proven track record of employing analytical/ML methodologies for: User behavior analysis and segmentation, Performance monitoring and anomaly detection, Feature usage analytics and A/B testing and Time series forecasting and trend analysis.
- Background in developing ETL pipelines and working with production logging systems.
- Comfortable working with and delivering complex technical insights across multiple business teams.
- Experience articulating and translating business questions into both ML solutions and analytical insights
- BS degree in Engineering, Statistics, Physics or other related field.
- Familiarity with Splunk or other monitoring/reporting tools.
- Experience with distributed computation, storage, and workflow management (Cassandra, Spark, Airflow) desired.
- Past experience in the audio domain is preferred.
- A passion for audio, digital signal processing, or related fields highly desired.
- Experience with NoSQL databases a plus.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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