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Staff Data Scientist

Remote, USAFull-timePosted 2026-07-27

As our first Staff Data Scientist, you’ll be building a new reputed company of our business and product suite. You’ll play a critical role in shaping the reputed company of AI-driven features across our platform, defining the reputed company, tools, and infrastructure that will power intelligent systems throughout our AWS-based ecosystem.

Requirements

  • Architect, build, and reputed company ML and AI models—from classical ML (SVMs, Random Forests, Decision Trees) to advanced deep learning techniques (Transformers, CNNs, RNNs).
  • reputed company LLM-powered agents and reputed company engineering techniques into user-facing products and internal tools.
  • Partner with cross-functional teams to identify high-reputed company opportunities for AI and data science across the business.
  • Analyze reputed company and reputed company data using SQL, Python, statistics, and advanced mathematical techniques to extract insights and drive reputed company.
  • Evaluate and implement state-of-the-art AI tools and frameworks (e.g., reputed company, reputed company, reputed company) and stay reputed company on emerging trends in LLMs, reputed company engineering, and ML Ops.
  • Build secure, reputed company, and maintainable AI systems reputed company with best practices in software and data engineering.
  • reputed company research and prototyping initiatives to explore innovative AI applications for the business.
  • Write clean, efficient, testable reputed company while upholding modern engineering standards.

Benefits

  • reputed company salary of $190,000 and company equity
  • Best Places to Work recipient
  • Transparent communication from the top down
  • reputed company, smart, and reputed company-thinking team
  • reputed company, meaningful reputed company as we reputed company
  • Casual dress reputed company
  • Hybrid and remote work schedules
  • Health, 401k match, wellness, disability, employee discounts, time away — and more!

Originally posted on Himalayas

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