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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

QuantumLeap Analytics
San Francisco
Salary Estimate
USD 140.000 – USD 190.000
Live Update
11 Mei 2026
Deadline
11 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 that drive global impact. In this pivotal role, you'll collaborate with cross-functional teams to architect cutting-edge analytics solutions while mentoring junior scientists. Our culture thrives on intellectual curiosity and bold experimentation.

Enjoy competitive benefits including equity, unlimited PTO, and $5,000 annual learning stipend. Work in our state-of-the-art downtown SF hub with panoramic bay views.

Responsibilities

  • Design and implement end-to-end machine learning pipelines for predictive modeling and optimization
  • Lead A/B testing frameworks and statistical analysis for product experimentation
  • Translate business requirements into data-driven solutions using Python, SQL, and cloud platforms
  • Present findings to C-suite executives through compelling data visualizations and narratives
  • Mentor junior scientists and champion best practices in data ethics and governance
  • Develop real-time analytics dashboards using Tableau and Power BI
  • Pioneer novel approaches to unstructured data analysis (NLP, computer vision)

Qualifications

  • 5+ years experience in data science with proven track record of deploying production models
  • Expertise in Python (Pandas, Scikit-learn, TensorFlow) and SQL
  • Strong statistical background with experimental design mastery
  • Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark, Hadoop)
  • PhD or Master's in quantitative field (Statistics, CS, Economics) equivalent
  • Portfolio demonstrating 3+ end-to-end data science projects
  • Excellent communication skills translating complex concepts to stakeholders
  • Experience with MLOps and CI/CD for ML systems

Required Skills

Python SQL Machine Learning TensorFlow AWS Statistical Analysis A/B Testing Data Visualization NLP MLOps

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