Senior Data Scientist, Apple Pay Analytics
Apple
Full-time
On-site
Cupertino, California, United States
Your recommendations will directly shape decisions at the highest levels, while you partner with the extended data sciences & data engineering to ensure reliable, accessible data. We work fast and iteratively, value open feedback and debate, and balance teamwork with independent decision-making and smart risk-taking.
- 5+ years of demonstrated experience in an Analytics and Strategy role
- Strong business acumen and the ability to think strategically and operationally.
- Be a self-starter, driven, accountable and a high-energy team player.
- Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
- Demonstrated ability to influence without authority.
- Excellent communication skills—able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
- Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
- Knowledge of and experience in leveraging Applied Statistical/ML techniques.
- Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
- 8+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action
- Track record of leading organization-wide strategic initiatives or transformative analytics projects
- Master’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.