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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataPulse Analytics
San Francisco
Salary Estimate
USD 140.000 – USD 190.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join DataPulse Analytics as a Senior Data Scientist and lead transformative initiatives at the intersection of technology and business intelligence. We're seeking a visionary expert to architect cutting-edge ML solutions that drive measurable impact across our fintech portfolio. In this high-impact role, you'll collaborate with cross-functional teams to translate complex data challenges into actionable strategies, leveraging our state-of-the-art infrastructure to solve real-world problems.

Our award-winning culture combines technical excellence with innovation, offering unparalleled growth opportunities in one of the world's most dynamic tech ecosystems. You'll work with petabyte-scale datasets, mentor junior data scientists, and directly influence product roadmaps while enjoying comprehensive benefits including equity, flexible work arrangements, and professional development stipends.

Responsibilities

  • Design and implement scalable ML models for predictive analytics and NLP applications
  • Lead end-to-end data science projects from exploration to deployment
  • Collaborate with engineering teams to deploy models into production environments
  • Translate business requirements into technical solutions using statistical analysis
  • Mentor junior data scientists and conduct peer code reviews
  • Present findings to executive stakeholders through compelling data visualizations
  • Research and implement emerging AI techniques to maintain competitive advantage

Qualifications

  • Master's or PhD in Computer Science, Statistics, Mathematics, or related field
  • 5+ years of experience in applied data science and ML development
  • Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure)
  • Strong portfolio demonstrating end-to-end ML project delivery
  • Experience with MLOps tools (Airflow, Kubeflow, MLflow)
  • Deep understanding of statistical modeling and experimental design
  • Excellent communication skills with ability to translate technical concepts
  • Proven track record of driving data-informed business decisions

Required Skills

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

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