Data Scientist - Fraud Analytics & ML Solutions

Apple, Inc.; Cambridge (MA); On-site; USD 130,000 - 196,000; Full time

Benefits offered by this job

Comprehensive medical and dental

Employee stock programs

Educational expense reimbursement

Job summary

Apple, Inc. in Cambridge, MA is seeking a Data Scientist to develop data-driven insights to fight fraud, evaluate product launches, and build automated alerts.

You will partner with engineers, product and business leaders to deliver impactful customer experiences using advanced statistical and machine learning methods. Minimum qualifications include a Master’s in statistics or related field, 3+ years in data science, and proficiency in SQL/Spark and Python/R.

Qualifications

• 3+ years of experience as a Data Scientist.

Responsibilities

• Develop scalable data solutions to be used to drive analyses, reports, and insights.
• Influence upstream data model design, drive KPI definitions and develop customized data solutions.
• Measure impact of features and initiatives and help improve customer experience.
• Collaborate and influence cross functional partners to help deliver product objectives on time.
• Communicate results, insights and expectations to partners and senior leaders, bridging any gaps between technical and non-technical audiences.
• Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.

Skills

Data science experience

Communication

LLMs experience

3+ years DS

Education

Master's in Statistics/Data Science/related field

PhD (preferred)

Tools

SQL

Spark

Python

R

Scala

Job description

Apple, Inc. in Cambridge, MA is seeking a Data Scientist to develop data-driven insights to fight fraud, evaluate product launches, and build automated alerts.

You will partner with engineers, product and business leaders to deliver impactful customer experiences using advanced statistical and machine learning methods. Minimum qualifications include a Master’s in statistics or related field, 3+ years in data science, and proficiency in SQL/Spark and Python/R.