Senior Data Scientist, Forecasting

{
  "content_hash": "8e59ef8f16279d38af8b529e9d1fdfdd8cce8a7b7057bde757f4e4a9edfb81bb",
  "source_hash": "a4e423eebd1f595643c70367229c5a9aaf7a5206d5d7f0996fced2305571cfe2",
  "last_changed_at": "2026-05-29T07:01:10.382Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "San Francisco, CA",
    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 200000,
  "salary_min": 180000,
  "inferred_at": "2026-06-06T07:56:45.758Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "\n<li>Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload.</li>\n<li>Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns.</li>\n<li>Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories.</li>\n<li>Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring.</li>\n<li>Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions.</li>\n<li>Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.</li>\n"
    },
    {
      "text": "Required Qualifications ",
      "content": "\n<li>5+ years of experience building and deploying models into production environments</li>\n<li>Experience with forecasting models</li>\n<li>Strong programming skills with demonstrated proficiency in Python and SQL</li>\n<li>Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows</li>\n<li>Experience working cross-functionally with operations or business stakeholders</li>\n"
    },
    {
      "text": "Bonus Qualifications",
      "content": "\n<li>Experience working with weather data</li>\n<li>Experience with Geospatial tooling (GIS tools, GeoPandas, etc.)</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1772564808287,
  "updatedAt": null,
  "categories": {
    "team": "Automation",
    "location": "San Francisco, CA",
    "commitment": "Full-Time",
    "allLocations": [
      "San Francisco, CA"
    ]
  },
  "salaryRange": {
    "max": 200000,
    "min": 180000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}