Data Scientist â Wallet, Payments & Commerce
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
The Wallet Payments & Commerce (WPC) Operations Data Science team drives this mission. We combine technical depth with operational insight to measure diagnose and improve product performance across billions of transactions. As a Data Scientist youll build the intelligence that powers global commerce from anomaly detection and forecasting to dashboards that guide engineering and operations. Working with teams across Apple your insights will shape the future of payments and impact millions worldwide.
- 3-5 years of experience in data science business analytics or BI.
- Ability to extract meaningful business insights from data and identify the stories behind the patterns.
- Understanding of statistical concepts and practical experience applying them (in anomaly detection forecasting causal inference NLP etc.).
- Expert level SQL with advanced Snowflake performance tuning expertise.
- Python development experience with pandas and NumPy.
- Communication skills for presenting complex quantitative analyses to senior business executives.
- Bachelors degree required in quantitative field (Data Science Applied Econometrics Statistics Machine Learning Analytics Mathematics Operations Research or related).
- Strong critical thinking and interpersonal skills with the ability and desire to learn and evaluate new technologies.
- Self-directed and proactive. You thrive in an ambiguous and fast-paced environment.
- Advanced degree (Masters/PhD) preferred in quantitative field (Data Science Applied Econometrics Statistics Machine Learning Analytics Mathematics Operations Research or related field).
- Proven understanding of machine learning deep learning and natural language (including LLMs) processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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