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Turrior - Let work find you
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Careers at Apple
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Data Scientist

Full Time
full time
21 Nov 2023
Austin
Certified by Turrior

Content + Source + Freshness • 13 Feb 2026 • 95% confidence

88 / 100

Offer value

Strong value due to Apple's prestigious brand, competitive compensation packages, and opportunities for innovative work in data science.

  • High competitive salary: $120,000–$160,000/year
  • Work in a globally recognized tech company
  • Engage in significant data science projects
  • Strong competition for roles
Pros
  • Competitive salary in line with industry standards (~$120,000–$160,000/year)
  • Renowned company with a strong global influence
  • Opportunity to work on high-impact data science projects
Cons
  • High competition for roles at Apple
  • Work intensity can vary significantly
  • Limited remote work options may exist

Who it's for

Mid-level to Senior • On-site or hybrid within the office

Good fit
  • Experienced data scientists
  • Professionals looking to innovate in technology
  • Individuals passionate about data-driven solutions
Not recommended for
  • Beginner data scientists
  • Candidates preferring fully remote roles
  • Individuals uninterested in analytical work

Motivation fit

Desire to evolve as a data science professionalInterest in technology-driven challengesCommitment to working with cutting-edge tools and methodologies

Key skills

Statistical analysisProgramming languages (Python, R)Machine learning techniquesData visualization
Score: 88/100 AI verified analysis

About the job

Data Scientist at Apple

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End-to-end AI hiring for modern HR teams

Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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