{
  "id": "skill-area:data-science-experimentation",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/skill-areas-technical-depth.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Data Science Experimentation",
    "description": "Experimental design and execution for data science — hypothesis\nformulation, experiment tracking (MLflow, Weights & Biases),\nreproducible notebook workflows, and translating exploratory\nanalysis into production-ready features.\n",
    "domains": [
      "specialization:data-science-ml"
    ],
    "expertiseLevels": [
      "intermediate",
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:data-science-experimentation",
      "to": "specialization:data-science-ml",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:data-science-experimentation",
      "to": "specialization:bioinformatics",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    },
    {
      "from": "skill-area:data-science-experimentation",
      "to": "specialization:materials-science",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:machine-learning",
      "to": "skill-area:data-science-experimentation",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "stack-profile:research-data-platform",
      "to": "skill-area:data-science-experimentation",
      "kind": "requires_skill_area"
    },
    {
      "from": "tool:jupyter",
      "to": "skill-area:data-science-experimentation",
      "kind": "used_for"
    },
    {
      "from": "lib-agent:data-science-ml--experiment-designer",
      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-agent:data-science-ml--ml-requirements-analyst",
      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:data-science-ml--jupyter-notebook-executor",
      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:data-science-ml--mlflow-experiment-tracker",
      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-skill:data-science-ml--optuna-hyperparameter-tuner",
      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-skill:data-science-ml--wandb-experiment-tracker",
      "to": "skill-area:data-science-experimentation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    }
  ]
}