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Apple Economist ML Data Scientist - Solutions & Initiatives United States, California, Cupertino 377804627
18.11.2024
Description
Data Science, Machine Learning & StorytellingYour responsibilities will include:* Collaborate with cross-functional teams—including machine learning engineers, product managers, and program managers—to plan, design, build, and deploy scalable data models and machine learning solutions.* Analyze large-scale sales and finance datasets to extract insights and troubleshoot forecasting models, ensuring accuracy and alignment with business goals.* Implement metrics to measure model performance and effectiveness, driving continuous improvements in prediction accuracy and decision-making.* Conduct research to develop advanced decision-making systems and assess the impact of new demand-generation programs.* Communicate complex data insights and model outcomes to stakeholders through clear data storytelling, ensuring findings are actionable and understandable.* Build and maintain internal visualization tools to support data-driven decisions within the Sales and Finance teams.
Minimum Qualifications
- PhD in Economics, Operations Research, Marketing Science or related field required.
- 5+ years experience applying econometric models required.
- Strong background in statistics, econometrics, operations research, or quantitative marketing.
- Expert R/Python programmer also proficient in other languages important to the ETL data pipeline (e.g. SQL).
- Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.
- Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
- Ability to share results with a non-technical audience and advancing multiple projects at once on a tight schedule.
- Outstanding verbal and written communication skills, along with exceptional presentation skills.
Preferred Qualifications
- Experience in in-depth analysis of machine learning model failures
- Experience with machine learning interpretability methods.
- Experience in design/development of complex decision-making systems
- Detail-oriented to keep track of and understand the workings of complex algorithms.
- Self-motivated and curious with creative and critical thinking capabilities to improve data quality evaluation methods for diverse and complex data annotation programs.
- Ability to operate comfortably and effectively in a fast-paced, highly cross-functional, rapidly changing environment and self manage and work independently with dynamic requirements and priorities.
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 $207,800 and $312,200, 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.
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.
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