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Apple Support Insight Data Scientist United States, California, Sunnyvale 64810734
06.05.2025
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Build and refine anomaly detection tools and algorithms, improving our ability to identify and respond earlier to emerging signals in our data.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.
- BA or BS degree in statistical analysis, computer science, data science, or related field.
- 7+ 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.
- Applied knowledge of statistical data analysis to perform trend and anomaly identification, predictive modeling, and hypothesis testing.
- Proven ability to make data-driven, convincing arguments to drive process changes.
- Demonstrated experience in leading data science projects through all phases including exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.
- Experience with Docker, Kubernetes, Airflow.
- Experience with front end libraries such as React or Streamlit.
- Experience with LLMs and Graph Databases.
- Demonstrated ability to implement, improve, debug, and maintain machine learning models.
- Highly Proficient in Tableau.
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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