Data Scientist- Maps

Apple Maps Evaluation team is looking for an experienced data scientist to join our Data Science Data Insights team. Our team supports Apple Maps wide metrics that provide a holistic view of Apple Maps product quality. Our work spans the entire data ecosystem: metrics design, instrumentation, data set design, data quality checks, batch and real time applications, and reporting. We partner with Data Infrastructure, Maps Client, and Engineering teams to ensure that we report metrics that are based on the highest quality data.

Description

Metrics Data Scientists love to deep dive into data, understand data quality measures, discover patterns and insights and drive product implementation changes based on their findings. We need data scientists who are phenomenal communicators and can advocate for the partner teams who make product decisions based on our metrics. You'll work in a cross-functional setting to generate the best possible metrics for our partner teams. You'll develop analysis around product metrics data, and ensure the data meets high quality standards. We work closely with Maps Client, Engineering and Data Platform teams to find opportunities for improving data collection. You'll build relationships across Maps data ecosystem to understand end-to-end processes and how Maps information moves from device to data repositories and dashboards.

Minimum Qualifications

• 2 years doing quantitative data analysis
• 2 years SQL experience
• 2 years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala)
• Experience using git for version control
• Experience in designing analytic solutions to open-ended problems
• Experience in building relationships across teams, communicating technical content and analytical insights to teams from various discipline

Preferred Qualifications

• Prior industry experience with Airflow or other scheduling technologies
• Prior industry experience with Docker and Kubernetes
• Prior industry experience with building anomaly detection systems
• Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark
• Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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