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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

DataInsights Global
San Francisco
Salary Estimate
USD 170.000 – USD 230.000
Latest
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join DataInsights Global as a Senior Data Scientist and transform complex data into actionable business intelligence. We're seeking a visionary expert to drive our data-driven culture and pioneer next-generation analytics solutions. At the intersection of technology and innovation, you'll collaborate with cross-functional teams to solve high-impact challenges in healthcare, finance, and e-commerce. Our dynamic startup environment offers competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research.

We foster a culture of continuous learning and provide access to cutting-edge tools including Databricks, Snowflake, and our proprietary ML platform. This hybrid role requires 3 days in our downtown San Francisco office, with full remote flexibility for the remainder of the week.

Responsibilities

  • Develop and deploy advanced machine learning models to predict customer behavior and optimize business operations
  • Lead end-to-end data science projects from hypothesis formulation to production deployment
  • Collaborate with engineering teams to build scalable data pipelines and real-time analytics dashboards
  • Translate complex findings into compelling visualizations and strategic recommendations for C-level executives
  • Mentor junior data scientists and contribute to our open-source analytics framework
  • Conduct A/B testing and causal inference analysis to measure impact of business initiatives

Qualifications

  • Master's degree in Data Science, Statistics, Computer Science, or related field (PhD preferred)
  • 5+ years of experience in applied data science with portfolio of production-level ML models
  • Expert proficiency in Python (scikit-learn, TensorFlow) and SQL with database optimization skills
  • Strong background in statistical modeling and experimental design
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization technologies
  • Proven ability to communicate technical concepts to non-technical stakeholders
  • Published research or conference presentations in data science or ML

Required Skills

Python SQL Machine Learning TensorFlow AWS Data Visualization Statistical Modeling A/B Testing

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