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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataInsights Inc.
San Francisco
Salary Estimate
USD 150.000 – USD 200.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join DataInsights Inc., a leading AI-powered analytics pioneer, as we revolutionize how global enterprises leverage data. Our award-winning platform processes 10+ terabytes daily, helping Fortune 500 clients optimize operations through predictive modeling and real-time insights. We foster a culture of innovation where your work directly impacts product strategy and customer experiences.

As a Senior Data Scientist, you'll collaborate with cross-functional teams to transform complex datasets into actionable intelligence. Our state-of-the-art lab in downtown San Francisco offers cutting-edge tools and mentorship from PhD researchers. We provide competitive benefits including equity, flexible work arrangements, and $5,000 annual learning stipends.

Responsibilities

  • Design and implement machine learning models for predictive analytics and customer segmentation
  • Develop ETL pipelines processing 50M+ daily records using Spark and cloud infrastructure
  • Create interactive dashboards and data visualizations for executive stakeholders
  • Lead A/B testing frameworks to validate data-driven product improvements
  • Mentor junior scientists and present findings to C-suite executives
  • Research emerging NLP and computer vision techniques for product innovation
  • Ensure data governance compliance and model ethical AI practices

Qualifications

  • Master's degree in Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years experience building production ML models at scale
  • Expert proficiency in Python, SQL, and cloud platforms (AWS/GCP)
  • Strong portfolio demonstrating end-to-end data science projects
  • Experience with statistical modeling (regression, time-series, clustering)
  • Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
  • Excellent communication skills translating technical concepts to business audiences
  • Certification in Google Cloud/Azure Data Science preferred

Required Skills

Python SQL Machine Learning AWS Spark TensorFlow Data Visualization NLP MLOps

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