Data Scientist - Fraud Analytics & ML Innovation

Apple Inc.; Cambridge; On-site; GBP 97,000 - 145,000; Full time

Benefits offered by this job

Health benefits

Employee stock programs

Relocation assistance

Education reimbursement

Job summary

Apple Inc. invites a Data Scientist to join Strategic Data Solutions in Cambridge, MA, focusing on fraud detection, model development and timely alerts. You will partner with engineers, product and business leaders to deliver practical insights and scalable data solutions.

You will design observational experiments, work with large data sets, and advance feature evaluation and product roadmaps using advanced statistical and ML methods. Strong communication and collaboration are essential.

Qualifications

• Master's degree or equivalent in Statistics, Mathematics, Data Science, ML, Physics, Engineering or CS
• Proficiency in SQL, Spark or equivalent data querying tools
• Proficiency in scripting languages for data processing and analysis (e.g., Python, R, or Scala)
• Excellent communication and cross-functional collaboration skills; ability to convey complex concepts to diverse audiences
• At least 3 years experience working as a Data Scientist

Responsibilities

• Develop scalable data solutions to drive analyses, reports, and insights
• Influence upstream data model design, define KPIs, and develop data solutions
• Measure impact of features and initiatives, improving customer experience
• Collaborate with cross-functional partners to deliver product objectives on time
• Communicate results and expectations to partners and leadership, tailoring messaging to the audience
• Work independently on highly visible projects, identify risks and develop frameworks

Skills

Python

R

Scala

SQL

Spark

Communication

Collaboration

3+ years experience

Education

Masters in Statistics or Data Science or related field

PhD (preferred)

Tools

Python

R

Job description

Apple Inc. invites a Data Scientist to join Strategic Data Solutions in Cambridge, MA, focusing on fraud detection, model development and timely alerts. You will partner with engineers, product and business leaders to deliver practical insights and scalable data solutions.

You will design observational experiments, work with large data sets, and advance feature evaluation and product roadmaps using advanced statistical and ML methods. Strong communication and collaboration are essential.