Hardware Insights Machine Learning Data Scientist
Sunnyvale, California, United States
Support and Service
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The AppleCare Business Insights, Operations, and Systems (ACBIOS) team is seeking an experienced Data Scientist/Machine Learning Engineer who is passionate about using analytics to drive business decisions and impact customer experiences. We are looking for a candidate with proven experience in uncovering insights, identifying hidden patterns in data, and translating business questions into data solutions. Ideal candidates are detail-oriented and proactive, thrive in a fast-paced and dynamic environment, and can effectively balance opposing priorities, long-term projects, and ad-hoc tasks.
Key Qualifications
- 5+ years experience in deploying data science, machine learning, and anomaly detection techniques to solve practical business problems.
- Expert proficiency in SQL, preferably in Snowflake, with strong debugging skills and a consistent record of developing clean, efficient code.
- Experience with anomaly and outlier detection methods and algorithms.
- Strong programming skills in Python with experience using Pandas, NumPy, Scikit-learn, or other data science packages.
- Demonstrated ability to implement, improve, debug, and maintain machine learning models.
- 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.
- Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences.
- Highly proficient in Tableau.
- 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, generative AI, graph database a plus.
Description
The core function of this role involves crafting and implementing machine learning models, establishing automated algorithms, and building tools to identify anomalies in metrics related to hardware field performance and product quality.
Collaborate with multi-functional teams to establish relationships, see opportunities, develop performance indicators, and communicate complex data analyses, getting results..
Build and refine anomaly detection tools and algorithms, improving our ability to identify and respond earlier to emerging signals in our data.
Research and integrate 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 sharing of insights.
Handle large, complex data sets and use advanced analytics to tackle challenging problems, enhance
Education & Experience
Bachelors degree in Computer Science, Statistics, or related field or equivalent experience