Applied Scientist

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Culver City, CA
Salary
$175,000–$308,500 / yr
Posted
134 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k
This role $242k
$118k most similar roles pay here $329k

This role pays more than 75% of similar roles. Most pay $142,500–$234,550 — the shaded band above. At the midpoint, this role pays about $242k versus about $189k for comparable roles.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Applied Scientist

The Applied Scientist joins the Services Data Science & Analytics organization to develop innovative solutions at the intersection of causal inference, statistics, and machine learning. This role focuses on optimizing marketing channels through observational testing frameworks, counterfactual modeling, and lifetime value estimation. The successful candidate will design, develop, and deploy scalable Causal Inference products to measure marketing effectiveness while defining the technical vision for AI/ML initiatives. Day-to-day responsibilities include analyzing large-scale data sources, automating predictive methods, and collaborating with cross-functional teams to translate business requirements into technical specifications. Required skills include proficiency in Python, R, SQL, Java, or C++, along with experience in Spark, Docker, and MLOps. The role requires expertise in quasi-experimental techniques like diff-in-diff and synthetic control, as well as knowledge of Generative AI to solve complex customer acquisition and engagement challenges.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

What you'll do

  • Engineer end-to-end scalable and robust Causal Inference products to measure marketing effectiveness.
  • Analyze large-scale data sources to identify opportunities for automation, predictive methods, and quantitative modeling.
  • Translate business requirements into technical specifications to deliver practical solutions for customer acquisition and engagement.
  • Define the technical vision, strategy, and execution roadmap for AI/ML initiatives.
  • Integrate the latest research in causal inference and AI/ML into existing frameworks.
  • Implement best practices in software engineering, MLOps, code quality, and testing.
  • Ensure all models and products comply with data privacy and security standards.

What we're looking for

  • Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field.
  • PhD in a related field is preferred.
  • 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist.
  • Familiarity with quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control, and regression discontinuity design.
  • Hands-on experience building Marketing Mix models and validation through Matched Market testing.
  • Solid understanding of AIML technologies including Generative AI.
  • Proficiency in programming languages such as Python, R, SQL, Java, or C++.
  • Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices.

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