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Data Scientist

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92% of candidates apply because they are a Most Loved Workplace®
Seattle, WA
Data Science
Full-time
Mid-level

About the Role

At Microsoft, a Most Loved Workplace® certified employer in the Technology space, Empowering every person and organization to achieve more through innovation.

Analyze large datasets to extract insights and drive business decisions. Develop predictive models and collaborate with product teams to implement data-driven strategies.

What makes this opportunity special

  • Global Impact at Scale: Work on products and solutions used by billions of people worldwide, making meaningful contributions that shape the future of technology and society.
  • Continuous Learning & Growth: Access to cutting-edge technology, professional development programs, and career advancement opportunities with a culture that promotes learning from within.
  • Inclusive & Collaborative Culture: A workplace where diverse perspectives drive innovation, collaboration across teams is valued, and employees are empowered to contribute authentically and take ownership.

Our core culture values include Creative Problem-Solving, Collaborative Teamwork, Accountability & Ownership.

Want to learn more about what it's like to work at Microsoft? View our full profile.

Requirements

  • 3+ years of experience in data science
  • Proficiency in Python or R
  • Experience with machine learning algorithms
  • Strong analytical and problem-solving skills

Benefits

  • Competitive salary and equity
  • Comprehensive health coverage
  • Generous vacation policy
  • On-site fitness center
  • Continuous learning opportunities
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Why This Is a Most Loved Workplace® Certified Job

What It's Like to Work Here

Lightbulb Creative Problem-Solving
Users Collaborative Teamwork
Target Accountability & Ownership
Zap Continuous Learning
Heart Care & Respect
Globe Global Impact Mindset

Apply for Data Scientist

Submit your application directly to the Microsoft team. Let them know why you'd be a great addition to their loved place to work.

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