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Senior Data Scientist

QuantumLeap Analytics
San Francisco
Salary Estimate
USD 170.000 – USD 220.000
Latest
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join QuantumLeap Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business strategies. In this pivotal role, you'll architect cutting-edge ML solutions that directly impact our clients' bottom lines across fintech, healthcare, and e-commerce verticals. Collaborate with elite engineers and product strategists in a dynamic, startup-charged environment where your ideas become reality.

Responsibilities

  • Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
  • Translate business objectives into data science roadmaps with measurable KPIs
  • Lead A/B testing frameworks and causal inference analysis for product optimization
  • Present findings to C-suite stakeholders through compelling data narratives and visualizations
  • Mentor junior scientists and champion MLOps best practices
  • Publish research in peer-reviewed journals or industry conferences

Qualifications

  • MS/PhD in Statistics, Computer Science, or quantitative field with 5+ years industry experience
  • Expertise in Python (scikit-learn, TensorFlow) and SQL with billion-row dataset handling
  • Proven track record deploying production ML systems on AWS/GCP
  • Advanced statistical modeling (Bayesian inference, survival analysis) and experimental design
  • Strong communication skills translating technical concepts to non-technical audiences
  • Portfolio demonstrating impactful data science projects with business ROI

Required Skills

Python SQL Machine Learning TensorFlow AWS Data Visualization Statistical Modeling A/B Testing Causal Inference

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