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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Quantum Insights Analytics
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join our award-winning data science team at Quantum Insights Analytics, where we transform complex data into actionable business intelligence. We're seeking a visionary Senior Data Scientist to lead cutting-edge projects in predictive modeling, machine learning, and AI-driven solutions. You'll collaborate with cross-functional teams to solve high-impact challenges in fintech, healthcare analytics, and e-commerce optimization. Our culture values innovation, continuous learning, and work-life balance.

What We Offer:

  • Competitive equity package and comprehensive benefits
  • Annual $5,000 professional development stipend
  • Flexible hybrid work model with 3 office days/week
  • State-of-the-art tech stack including Python, AWS, and MLflow

Responsibilities

  • Design and implement advanced ML models for predictive analytics and NLP applications
  • Lead end-to-end data science projects from hypothesis to deployment
  • Collaborate with engineering teams to scale models into production systems
  • Translate complex findings into executive-ready visualizations and reports
  • Mentor junior data scientists and conduct peer code reviews
  • Drive innovation through applied research in emerging AI techniques
  • Optimize data pipelines for real-time analytics and dashboarding

Qualifications

  • 5+ years of experience in data science with production ML systems
  • Expertise in Python, SQL, and ML frameworks (Scikit-learn, TensorFlow/PyTorch)
  • Strong statistical foundation with A/B testing and experimental design
  • Proven ability to translate business problems into technical solutions
  • Experience with cloud platforms (AWS/GCP) and MLOps tools
  • Master's degree in Statistics, Computer Science, or related field
  • Portfolio demonstrating impactful data science projects
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Python Machine Learning SQL TensorFlow AWS Statistical Analysis Data Visualization MLOps NLP

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