Data Scientist, Audio Telemetry Intelligence

Apple; Cupertino (CA); On-site; USD 145,000 - 264,000; Full time

Benefits offered by this job

Comprehensive medical and dental cover

Retirement benefits

Employee stock purchase plan

Stock programs or RSUs

Job summary

Apple seeks an experienced Data Scientist to advance telemetry intelligence for optimizing device audio experiences in Cupertino, onsite. You will analyze large-scale audio session and device telemetry data to uncover patterns, then translate findings into predictive or adaptive improvements.

Collaborate with engineering and product teams to drive data-driven product decisions. Ideal candidates have 3+ years of data science or ML experience, strong Python and SQL, and experience with streaming

Qualifications

• Experience with telemetry and time-series data.
• Experience with predictive modeling at scale.
• Experience with real-time or streaming data pipelines.
• Experience using AI-assisted development tools.
• Proven experience with large-scale data platforms or cloud data infrastructure.
• Strong communication skills to translate data insights into recommendations.
• Experience using Git in collaborative environments.
• Bachelor’s or Master’s degree in a related quantitative field.
• 3+ years of relevant professional experience.
• Strong Python programming skills for analysis and automation.
• Advanced SQL skills for querying large datasets.
• Experience building data pipelines (ETL/ELT).
• Experience with Spark (Apache Spark).
• Understanding of data modeling and data quality.
• Experience applying statistical analysis or ML techniques to behavioral data.

Responsibilities

• Analyze large-scale audio session and device telemetry data to identify patterns in user behavior and system adjustments.
• Create analytical datasets and workflows that enable scalable analysis and experimentation.
• Build and maintain data pipelines that convert raw telemetry into dependable analytical datasets.
• Investigate opportunities for predictive or adaptive system behavior to enhance the device audio experience.
• Collaborate with engineering and product teams to translate telemetry insights into actionable product improvements.
• Increase data accessibility and reliability through automation and internal data tooling.
• Support experimentation and data-driven decision-making across audio and device interaction scenarios.

Skills

Telemetry experience

Predictive modeling

Real-time pipelines

AI-assisted tools

Large-scale data platforms

Communication skills

Git version control

Python

SQL

ETL/ELT pipelines

Apache Spark

Data modeling

Statistical analysis / ML

Education

Bachelor’s or Master’s degree in a related quantitative field

Tools

Cloud data platforms

Airflow

Hadoop

Job description

Apple is looking for an experienced Data Scientist to advance telemetry intelligence focused on optimizing device audio experiences. In this onsite role in Cupertino, CA, you will work with large-scale audio session and device telemetry data to uncover behavior and system patterns, then turn those findings into predictive or adaptive improvements.

What you’ll do

• Analyze large-scale audio session and device telemetry data to identify patterns in user behavior and system adjustments.
• Create analytical datasets and workflows that enable scalable analysis and experimentation.
• Build and maintain data pipelines that convert raw telemetry into dependable analytical datasets.
• Investigate opportunities for predictive or adaptive system behavior to enhance the device audio experience.
• Collaborate with engineering and product teams to translate telemetry insights into actionable product improvements.
• Increase data accessibility and reliability through automation and internal data tooling.
• Support experimentation and data-driven decision-making across audio and device interaction scenarios.

What you bring

• Experience working with telemetry and time-series data.
• Familiarity with predictive modeling or pattern detection at scale.
• Experience with real-time or streaming data pipelines.
• Experience using AI-assisted development tools.
• Proven experience working with large-scale data platforms or cloud-based data infrastructure.
• Strong communication skills to translate complex data insights into practical recommendations.
• Experience using version control systems such as Git in collaborative environments.
• Bachelor’s or Master’s degree in Data Science, Machine Learning, Data Engineering, Computer Science, or a related quantitative field.
• 3+ years of full-time professional experience in data science, data engineering, or machine learning related roles.
• Strong programming skills in Python for analysis, scripting, and automation.
• Advanced SQL skills for querying and analyzing large-scale datasets.
• Experience building or maintaining data pipelines, including ETL/ELT workflows.
• Experience with large-scale or distributed processing frameworks such as Apache Spark.
• Understanding of data modeling, data quality, and analytical dataset development.
• Experience applying statistical analysis or machine learning techniques to behavioral datasets.

Tech stack

• Python
• SQL
• Apache Spark
• Git
• ETL/ELT

Compensation and benefits

The base pay range for this role is USD 144,600 to 263,800 per year. Base pay depends on skills, qualifications, experience, and location.

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments, as well as relocation (if eligible)
• Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Employee Stock Purchase Plan with discounted Apple stock purchase