Data Scientist, Strategic Data Solutions

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cambridge, MA
Salary
$130,200–$196,200 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $163k
$96k most similar roles pay here $227k

This role pays more than 60% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $163k versus about $162k 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 · Data Scientist, Strategic Data Solutions

As a Data Scientist - Strategic Data Solutions, you will join the Apple Store Online team to provide data-driven insights specifically aimed at fighting fraud. You will be responsible for developing models, creating automated solutions for timely alerts, and conducting research to address fraud through advanced analytical methods. Your daily work involves designing observational and experimental studies of causal inference, managing large complex datasets, and influencing upstream data model design and KPI definitions. To succeed in this role, you must be proficient in SQL, Spark, or equivalent technologies, along with scripting languages like Python, R, or Scala. You will also utilize LLMs for data automation and synthetic data generation. This role focuses on solving non-routine analysis problems to improve customer experience and drive the product roadmap through sophisticated statistical and machine learning techniques.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Develop models and advanced analytical methods to identify and fight fraud.
  • Design and execute observational and experimental studies using causal inference.
  • Build automated solutions to deliver timely data insights and alerts.
  • Create scalable data solutions for reporting, analysis, and insight generation.
  • Influence upstream data model design and define key performance indicators (KPIs).
  • Measure the impact of product features and initiatives to improve customer experience.
  • Translate complex technical findings into actionable insights for non-technical senior leaders.

What we're looking for

  • Master's degree in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science, or equivalent.
  • PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, or Computer Science is preferred.
  • At least 3 years of experience working as a Data Scientist.
  • Proficiency in data querying using SQL, Spark, or equivalent technologies.
  • Proficiency in scripting languages for data processing and analysis such as Python, R, or Scala.
  • Experience applying LLMs to solve technical problems like data analysis, automation, and synthetic data generation.
  • Experience developing anomaly detection and causal inference models.
  • Excellent communication skills to convey complex concepts to both technical and non-technical audiences.

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