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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

QuantumLeap Analytics
San Francisco
Salary Estimate
USD 180.000 – USD 220.000
Latest
Live Update
25 Mei 2026
Deadline
25 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 high-impact role, you'll collaborate with cross-functional teams to architect ML solutions, optimize predictive models, and deliver insights that drive revenue growth and operational efficiency. Our culture champions intellectual curiosity, technical excellence, and real-world impact.

Why QuantumLeap? We offer competitive equity packages, flexible work arrangements, and access to cutting-edge tech infrastructure. Plus, you'll be part of a team that's revolutionizing how global enterprises leverage data.

Responsibilities

  • Design and implement end-to-end machine learning pipelines for predictive analytics and business intelligence
  • Translate complex business challenges into data-driven solutions using statistical modeling and advanced algorithms
  • Collaborate with engineering teams to deploy models into production environments with scalability and performance optimization
  • Lead A/B testing frameworks and causal inference studies to drive product innovation
  • Present insights to executive stakeholders through compelling data visualizations and narrative storytelling
  • Mentor junior data scientists and champion best practices in data governance and ethics

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of experience in applied data science with proven track record of shipping production ML systems
  • Expert proficiency in Python, SQL, and distributed computing frameworks (Spark, Dask)
  • Strong foundation in statistical modeling, experimental design, and causal inference
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools (MLflow, Kubeflow)
  • Exceptional communication skills with ability to translate technical concepts for non-technical audiences
  • Portfolio demonstrating complex data science projects with measurable business impact

Required Skills

Python SQL Machine Learning Statistical Modeling AWS Data Visualization MLOps Causal Inference

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