Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Apple Data Scientist 
United States, Texas, Austin 
203093963

12.12.2024
Description
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Minimum Qualifications
  • Master’s degree or foreign equivalent in Business Administration, Statistics, Math, Finance, Economics or related field and 3 years of experience in the job offered or related occupation.
  • 3 years of experience with each of the following skills is required:
  • Developing code for data science and data analyses, creating visualizations to present and monitor the model performance.
  • Writing scripts for Machine Learning and statistical models in Jupyter Notebook via Python for classification and regression model development and model validation.
  • Programming in R to develop models that are used for CCAR (Comprehensive Capital Analysis and Review) model development, clustering, stress testing and scenario analysis.
  • Using SQL to select, transform and load into data science models and visualization tools.
  • Developing data visualizations, dashboards and reporting in Tableau for stakeholders to consume.
  • Using Excel for data analysis and data exploration processes of analysis. Using VLOOKUP to match rows with relevant data for further analyses and pivot table exploration for high-level diagnostics of an output dataset in csv or xlsx format.
  • Exploratory data analysis and advanced quantitative analysis using data science Machine Learning models. Using Jupyter notebook via Python to explore dataset imbalances, missing or NULL values and other inconsistencies, determining feature importance, evaluating ML models via classification reports and evaluation metrics.
Preferred Qualifications
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.