Senior Data Scientist, Fleet Performance Optimization

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  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
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{
  "lists": [
    {
      "text": "Responsibilities ",
      "content": "<div>\n\n<li>Develop models and analyses to optimize <strong>system performance across competing constraints</strong> (e.g., power usage vs data quality vs responsiveness)</li>\n<li>Define and implement <strong>end-to-end observability</strong>, establishing metrics across system components and dependencies</li>\n<li>Design and run experiments (e.g., pre/post, control vs test) to evaluate changes and detect regressions at both component and system levels</li>\n<li>Build and refine <strong>anomaly detection and failure analysis</strong> methods across complex, real-world data</li>\n<li>Lead <strong>ad hoc investigations</strong> into system issues, identifying root causes and driving resolution with cross-functional teams</li>\n<li>Translate insights into actionable recommendations across <strong>Firmware, Hardware, Software, and Operations</strong>, driving measurable improvements in system behavior</li>\n<li>Develop predictive systems for <strong>early issue detection and performance forecasting</strong>, including in environments with limited historical data</li>\n<li>Continuously evolve analyses into <strong>scalable intelligence systems</strong> that support monitoring, decision-making, and automation</li>\n\n</div>"
    },
    {
      "text": "Required Skills",
      "content": "<div>\n\n<li>5+ years of experience in data science working on <strong>production systems or real-world applications</strong></li>\n<li>Proven experience <strong>building, deploying, and maintaining models in production environments</strong></li>\n<li>Strong proficiency in <strong>Python and SQL</strong></li>\n<li>Experience working with <strong>complex, real-world datasets</strong> (e.g., time-series, event-based, or system-generated data)</li>\n<li>Strong foundation in <strong>statistical analysis, experimentation, and/or anomaly detection</strong></li>\n<li>Proven ability to <strong>bring structure to ambiguous, open-ended problems</strong>, iterating quickly to drive toward practical, high-impact solutions (80/20 mindset)</li>\n<li>Experience working cross-functionally with engineering and operational teams</li>\n\n</div>"
    },
    {
      "text": "Bonus Skills",
      "content": "<div>\n\n<li>Experience working on <strong>distributed hardware/software systems</strong> such as robotics, autonomous vehicles, IoT fleets, charging infrastructure, or energy/grid systems</li>\n<li>Prior ownership of <strong>end-to-end performance, reliability, or optimization</strong> for large-scale, real-world systems operating in dynamic environments</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1773958292983,
  "updatedAt": null,
  "categories": {
    "team": "Fleet",
    "location": "San Francisco, CA",
    "commitment": "Full-Time",
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