Data Scientist - Strategic Fraud & Insights

Apple Inc.; Cambridge (MA); On-site; USD 130,000 - 170,000; Full time

Job summary

Apple Inc. is seeking a Data Scientist to deliver data-driven insights and fraud-fighting models in Austin, Texas. You will partner with engineering, product, and business leaders to implement automated alerts and evaluation methods while driving feature analysis and causal inference to impact the customer experience.

The role requires expertise in statistics, ML, and large-scale data processing. You will develop scalable analytics solutions, communicate complex results to diverse audiences, and

Qualifications

• Masters in statistics, mathematics, data science, ML, physics, engineering, CS or equivalent.
• Proficiency in SQL, Spark or equivalent technologies.
• Scripting languages for data processing (Python, R, or Scala).
• Excellent communication and collaboration skills; ability to convey complex concepts.

Responsibilities

• Develop scalable data solutions to drive analyses, reports, and insights.
• Influence upstream data model design, KPI definitions and data solutions.
• Measure impact of features and initiatives to improve customer experience.
• Collaborate with cross functional partners to deliver product objectives on time.
• Communicate results, insights and expectations to partners and senior leaders at various levels.
• Work independently on sophisticated, high-visibility projects; identify risks and build frameworks.

Skills

SQL

Spark

Python

R

Scala

Communication

Collaboration

Data science

Education

Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent

PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent

Job description

Apple Inc. is seeking a Data Scientist to deliver data-driven insights and fraud-fighting models in Austin, Texas. You will partner with engineering, product, and business leaders to implement automated alerts and evaluation methods while driving feature analysis and causal inference to impact the customer experience.

The role requires expertise in statistics, ML, and large-scale data processing. You will develop scalable analytics solutions, communicate complex results to diverse audiences, and