Data Scientist, Strategic Data Solutions

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 9 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $162k

$97k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

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 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

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As a Data Scientist - Strategic Data Solutions on the Apple Store Online team, you will provide data-driven insights specifically designed to fight fraud and improve the customer experience. You will develop scalable data solutions for reports and alerts, design observational and experimental studies of causal inference, and solve non-routine analysis problems using statistical and machine learning methods. Your daily work involves managing large, complex datasets, influencing upstream data model designs, and defining KPIs to drive product roadmaps. To succeed, you must be proficient in SQL, Spark, and scripting languages like Python, R, or Scala. You may also utilize LLMs for data automation and synthetic data generation. This role requires collaborating with cross-functional partners to translate technical findings into actionable insights for non-technical leaders while addressing complex fraud detection challenges within the online retail domain.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

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Skills

Machine Learning SQL Spark Python R Scala LLMs Causal Inference Anomaly Detection Data Processing Synthetic Data Generation

What you'll do

Develop and implement machine learning models and advanced statistical methods to detect and fight fraud.
Design and execute observational and experimental studies using causal inference techniques.
Build automated solutions to deliver timely data insights and alerts for the product team.
Create scalable data solutions to drive reporting, analysis, and key performance indicator definitions.
Measure the impact of new features and initiatives to improve the overall customer experience.
Influence upstream data model designs and contribute to the development of the product roadmap.
Translate complex technical findings into actionable insights for non-technical stakeholders and senior leadership.

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 developing anomaly detection and causal inference models.
Experience applying LLMs to solve technical problems like data analysis, automation, and synthetic data generation.
Excellent communication skills to convey complex concepts to both technical and non-technical audiences.