Data Scientist - Business Process Re-Engineering

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $163k

$87k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,800.

Based on 240 similar postings.

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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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Data Scientist - Business Process Re-Engineering

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As a Data Scientist at Apple's Operations and Supply Chain team, you will work on re-engineering business processes by designing advanced analytics solutions using GenAI and agentic AI. Your day-to-day involves engaging with teams to identify opportunities, architecting data science solutions, collaborating with engineers to implement robust models, and presenting findings to leadership. You'll develop custom models, algorithms, and interactive visualizations, ensuring scalability and continuous improvement through monitoring and iteration. The role requires expertise in Python, SQL, TensorFlow, PyTorch, and cloud platforms like Snowflake and Kubernetes, as well as a passion for translating complex AI concepts into actionable business insights. This position demands a PhD or MS with extensive industry experience, proficiency in forecasting and optimization, and the ability to stay current with emerging technologies while delivering impactful solutions at scale.

Skills

Python TensorFlow PyTorch Scikit-Learn MLOps CI/CD GenAI Snowflake MySQL Docker Kubernetes Streamlit Tableau ThoughtSpot SQL Advanced SQL Data Visualization AIML Libraries Agentic AI MCP Servers

What you'll do

Design and architect end-to-end data science solutions for complex supply chain problems.
Develop custom models and interactive visualizations to deliver actionable insights at scale.
Continuously enhance deployed solutions through monitoring and iterative improvements.
Present key business impact findings to leadership in non-technical terms.
Research and evaluate emerging technologies to expand the team's technical capabilities.
Define and track performance metrics to quantify the value of data science solutions.

What we're looking for

PhD in a relevant field with 5+ years or MS with 8+ years of industry experience
Experience building and deploying large-scale data science models using MLOps practices
Proficiency in Python/Java/C++, advanced SQL, and AIML libraries like Scikit Learn, TensorFlow
Expertise in GenAI technologies, including Agentic solutions and MCP servers
Track record of staying current with emerging AI technologies and rapidly adopting new tools
Ability to translate complex AI concepts into clear business narratives for senior leadership
Proficiency with cloud data platforms, relational databases, and containerization/orchestration tools

Hybrid

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Head of Data Science Technology Solutions

Franklin Templeton

Stamford, CT +3 30 days ago $208,000–$270,000

Python SQL MachineLearning CloudComputing MLOps Docker Kubernetes AWS Azure Git CI/CD Aladdin WallStreetOffice Axioma Prometheus Grafana

Hybrid

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