Senior Data Scientist - Insights and Analytics

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 31 days ago

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Salary context

How this pay compares to similar roles

Similar $171k

$112k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $126,800–$214,500.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist - Insights and Analytics

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As a Senior Data Scientist at Hardware Engineering, you will join a multi-disciplined team to build and maintain scalable data pipelines and data warehouse models that serve as the analytical foundation for workforce planning and operational analytics. Your day-to-day responsibilities include designing repeatable analytical frameworks, building dashboards, and delivering insights through visual reports and presentations to senior stakeholders. You will leverage Python, pandas, NumPy, scikit-learn, and data visualization libraries to create forecasting and optimization models, ensuring data quality and reliability across the organization. The role requires expertise in cloud-based platforms like AWS or Snowflake, proficiency with pipeline orchestration tools such as Airflow, and a strong background in defining and leading business analytics initiatives. This position offers the chance to shape both the engineering foundation and analytics strategy while addressing high-stakes organizational decisions within the Hardware Engineering domain.

Skills

Python pandas NumPy scikit-learn AWS Snowflake Airflow dbt Apache Spark Terraform CI/CD Docker Prometheus Grafana JavaScript D3.js Observable

What you'll do

Design and build scalable data pipelines and warehouse models for Hardware Engineering.
Develop repeatable analytical frameworks and dashboards to evaluate organizational health.
Ensure data quality and reliability across the full data lifecycle from design to delivery.
Inform strategic decisions through presentations, visual dashboards, and reports on key metrics.
Build forecasting models for engineering resource needs and provide strategic recommendations.

What we're looking for

5+ years of experience defining and leading business analytics initiatives.
Minimum BS/BA in Computer Science, Software Engineering, Data Science, or equivalent.
Demonstrable mastery of Python for data engineering and analysis.
5+ years designing and building data pipelines and warehouses in cloud platforms.
Self-directed problem-solver comfortable with ambiguity and managing multiple priorities.

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