Data Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Culver City, CA
Salary: $171,600–$258,100 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $152k

This role $215k

$80k most similar roles pay here $277k

This role pays more than 90% of similar roles. Most pay $126,800–$177,968 — the shaded band above. At the midpoint, this role pays about $215k versus about $152k 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 1816 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1473 roles with salary data.

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At a glance

TL;DR · Data Scientist

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Join our dynamic team as a Data Scientist, where you will play a crucial role in driving innovation and solving complex business challenges through advanced analytics and machine learning. Your primary responsibilities include developing predictive models to enhance customer experience and operational efficiency, collaborating with cross-functional teams to integrate data-driven insights into product development, and continuously refining algorithms to improve performance metrics. You will work extensively with Python, R, SQL, and big data technologies such as Hadoop and Spark, leveraging these tools to analyze large datasets and extract meaningful patterns. This role requires a deep understanding of statistical methods and machine learning techniques, along with strong communication skills to effectively convey findings to stakeholders.

Skills

Python Pandas NumPy Scikit-learn TensorFlow Keras AWS S3 Redshift SQL Git Jupyter Notebook CI/CD MLOps

What you'll do

Develop predictive models using machine learning algorithms to forecast business trends.
Analyze large datasets to identify patterns and insights that inform strategic decisions.
Create data visualizations to communicate complex findings to stakeholders effectively.
Implement A/B testing methodologies to evaluate the impact of new features or changes.
Maintain and update databases, ensuring data quality and integrity for analysis.

What we're looking for

3+ years of experience in data science or related field.
Strong proficiency in Python and R for statistical analysis.
Experience with machine learning frameworks like TensorFlow, PyTorch.
Ability to work with large datasets and perform complex queries.
Excellent communication skills for presenting insights to stakeholders.

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