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Information Technology 🏢 Full Time ⭐️ Verified

Lead Data Scientist

DataVista Analytics
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join DataVista Analytics as a Lead Data Scientist to transform complex data into strategic business solutions. You'll architect cutting-edge ML models, drive data-driven decision-making, and lead a team of passionate analysts to uncover actionable insights that reshape industries. We're seeking a visionary who thrives at the intersection of technology and business impact.

Our platform processes 10TB+ daily data streams from global clients, creating unparalleled opportunities to build predictive systems that influence millions of users. You'll collaborate with C-suite executives to define data roadmaps while mentoring junior scientists through our innovative R&D pipeline. Enjoy flexible work arrangements, unlimited learning stipends, and equity in a rapidly scaling AI-first organization.

Responsibilities

  • Design and implement advanced ML/DL models for predictive analytics and NLP applications
  • Lead end-to-end data science projects from hypothesis to production deployment
  • Translate business requirements into technical specifications for data pipelines
  • Mentor 5+ data scientists and drive best practices in model validation
  • Present findings to stakeholders through compelling data visualizations and narratives
  • Optimize data infrastructure for real-time processing at petabyte scale
  • Research and integrate emerging AI/ML technologies into production systems

Qualifications

  • MS/PhD in Data Science, Computer Science, Statistics, or related field
  • 7+ years progressive experience in data science with 3+ years leadership
  • Expert proficiency in Python, PyTorch/TensorFlow, and cloud platforms (AWS/GCP)
  • Proven track record deploying ML models serving 1M+ users
  • Strong knowledge of statistical modeling and experimental design
  • Experience with distributed computing frameworks (Spark, Dask)
  • Exceptional communication skills translating technical concepts to business audiences

Required Skills

Python Machine Learning Deep Learning AWS/GCP SQL PyTorch/TensorFlow Data Engineering Statistical Modeling Leadership

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