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.
Education & Experience
Bachelors degree in Computer Science, Statistics, or related field or equivalent experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $160,700.00 and $241,500.00, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.