14 hours ago
Shanghai, ChinaMid Level
Responsibilities
- Partner with business teams to identify opportunities, understand requirements, and translate them into technical solutions.
- Design and implement predictive modeling and statistical analysis approaches, including custom algorithms when needed.
- Collaborate with data engineers and platform architects to deliver production real-time and batch decisioning solutions.
- Monitor operational and business metrics for production decision points.
- Investigate adversarial trends, identify behavior patterns, and update decision logic.
- Communicate analytical results and business insights to partners and executives.
Requirements
- Education in a quantitative field such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
- Practical and theoretical knowledge of classification, regression, clustering, and anomaly detection algorithms.
- Working knowledge of relational databases and SQL, plus large-scale distributed systems such as Hadoop and Spark.
- Ability to implement data science pipelines and applications in Python, Scala, or Java.
- Ability to understand and debug complex system integrations across toolchains and teams.
- Ability to derive meaningful business insights and communicate concise, business-focused conclusions.
- Creativity in engineering novel features and signals and extending existing tools and approaches.
- Experience building and working with integrated LLM architectures.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.