Fraud Data Science Manager – Strategic Solutions

Apple, Inc.; Cambridge (MA); On-site; USD 191,000 - 288,000; Full time

Job summary

Apple is seeking a Senior Data Science Manager in Cambridge to lead a team delivering fraud analytics and decision automation at scale. You will own analyses, build pipelines, and set governance with ML engineering and business leaders.

You will mentor a team of senior data scientists, drive methodological rigor, and shape the analytical strategy while hands-on contributing to complex analyses and model improvements.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field.
• 6+ years of hands on experience in data science, analytics engineering, or similar technical analytics roles, including 1+ years leading data scientists as a people manager or technical lead.
• Advanced proficiency in SQL and Python with experience writing production quality code, along with working knowledge of data warehouses, data lakes, and distributed processing of large datasets
• Strong background in statistical analysis, experimentation, and causal inference, including designing approaches when a clean randomized test is not available
• Experience building and maintaining production data pipelines and analytics systems, with a demonstrated record of measurable business impact

Responsibilities

• Hire, grow, and lead a team of data scientists who combine analytics engineering with deep statistical expertise, raising analytical quality through methodology review and your own technical contributions
• Lead through influence, balancing hands on technical mentorship with the strategic judgment to deliver scalable, high impact outcomes
• Build and maintain production data pipelines and reusable data models that power fraud analytics and decision automation, providing architecture guidance while ensuring data integrity, accessibility, and consistency across systems
• Design and implement robust monitoring, alerting, and health check systems that track data quality and model performance in production, surfacing issues before they affect fraud decisions
• Define success metrics and drive experimentation, causal inference, and statistical analysis, including designing rigorous approaches where conventional A/B testing is impractical
• Personally lead the most ambiguous and high stakes investigations, such as emerging attack patterns, enforcement anomalies, and unexpected shifts in model performance, and translate them into well scoped analytical questions with clear decision criteria
• Partner with machine learning engineering leaders to power decision automation, and with program and operations leaders to align analytical priorities, using compelling data storytelling, visualizations, and narratives to turn findings into decisions

Skills

SQL

Python

Statistics

Data pipelines

Experimentation

Causal inference

Team leadership

Education

Bachelor's degree

Tools

dbt

Snowflake

Spark

Airflow

CI/CD

Version control

Automated testing

Job description

Apple is seeking a Senior Data Science Manager in Cambridge to lead a team delivering fraud analytics and decision automation at scale. You will own analyses, build pipelines, and set governance with ML engineering and business leaders.

You will mentor a team of senior data scientists, drive methodological rigor, and shape the analytical strategy while hands-on contributing to complex analyses and model improvements.