Apple's Strategic Data Solutions (SDS) AppleCare team is looking for a talented manager who is passionate about managing a team of machine learning engineers that craft, implement, and operate analytical solutions that have direct and measurable impact to Apple and its customers. We employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value!
Requirements
- Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
- Familiarity with database modeling and data warehousing principles and SQL.
- Familiarity with Big Data tools like Spark, Hive etc.
- Strong programming skills in Java, Python, or similar language
- Ability to comprehend and debug complex systems integrations spanning toolchains and teams
- Ability to extract meaningful business insights from data and identify the stories behind the patterns
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Responsibilities
- Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
- Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
- Ensure operational and business metric health by monitoring production decision points
- Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
- Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
- Review the team’s production code and logic prior to deployment
Other
- Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
- Communicate results of analyses to business partners and executives
- Mentor machine learning engineers for their individual career development
- Deliver timely, constructive feedback to help team members recognize their needs and their progress
- Drive the collaborative and supportive SDS culture on your team, and collaborate with peers to share best practices across the larger organization
- Ability to coach machine learning engineers and a drive to invest in team’s success.
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
