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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

QuantumLeap Labs
San Jose, CA
Salary Estimate
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of scientific innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into groundbreaking solutions. In this pivotal role, you'll architect advanced machine learning models, collaborate with cross-functional research teams, and drive data-driven decision-making that shapes tomorrow's technological landscape. Our cutting-edge lab environment offers unparalleled resources to tackle challenges in quantum computing, AI ethics, and climate modeling. If you're passionate about pushing the boundaries of what's possible and thrive in a culture of intellectual curiosity, this is your opportunity to make a global impact.

Responsibilities

  • Design, develop, and deploy scalable machine learning models for predictive analytics
  • Lead end-to-end data science projects from hypothesis to production implementation
  • Collaborate with quantum physicists and engineers to integrate AI with emerging technologies
  • Translate complex scientific findings into actionable business strategies
  • Mentor junior data scientists and foster a culture of innovation
  • Present findings to executive stakeholders and publish research in peer-reviewed journals

Qualifications

  • PhD in Computer Science, Statistics, or related quantitative field (MS with 8+ years experience)
  • Expertise in Python, R, TensorFlow, and PyTorch frameworks
  • Proven track record of deploying production ML systems at scale
  • Strong foundation in statistical modeling and experimental design
  • Experience with quantum computing algorithms or AI ethics frameworks
  • Published research in top-tier conferences (NeurIPS, ICML, etc.)
  • Excellent communication skills with ability to articulate complex concepts

Required Skills

Python R TensorFlow PyTorch Quantum Computing Machine Learning Statistical Modeling Data Visualization AI Ethics Big Data

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