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# Machine Learning Data Scientist

- **Company:** Apple Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Customer Data Management, Python (Programming Language), Machine Learning, Standard Sql, Information Technology
- **Published:** August 30, 2026
- **Apply:** https://www.dice.com/job-detail/c4eac75f-1bf2-41d3-b770-3b581be48b94

## About the Role

Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience.

5+ years of experience in Data Science, Machine Learning, Analytics, Quantitative Research, Consulting, Business Analytics, or a related field.

Strong Python and SQL skills for analyzing large, complex datasets.

Strong foundation in statistics, experimentation, machine learning, and analytical problem solving.

Experience working directly with clients or senior business stakeholders to solve ambiguous problems and deliver data-driven recommendations.

Exceptional communication skills with the ability to translate complex analyses for technical, business, and executive audiences.

Preferred Qualifications

Master's or PhD in a quantitative discipline.

Deep understanding of digital advertising, marketing science, marketplaces, or consumer technology.

Expertise in statistical modeling, experimentation, causal inference, forecasting, or optimization.

Familiarity with advertising measurement, attribution, incrementality testing, or Media Mix Modeling.

Understanding of search engine marketing, app-install advertising, agency ecosystems, and mobile measurement partners

Strong business judgment and a track record of connecting analytical findings to customer strategy.

## Description

As a Machine Learning Data Scientist on this team, you'll combine advanced analytics, machine learning, and statistical modeling to develop client insights that influence advertiser strategy. Working closely with Sales, Marketing, Product, Engineering, and cross-functional Data Science teams, you'll build scalable analytical solutions and translate complex analyses into strategic recommendations for customers and executive stakeholders.


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