"data scientist" meaning in English

{
  "forms": [
    {
      "form": "data scientists",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "data scientist (plural data scientists)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Sciences",
          "orig": "en:Sciences",
          "parents": [
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Scientists",
          "orig": "en:Scientists",
          "parents": [
            "Occupations",
            "Sciences",
            "People",
            "Work",
            "All topics",
            "Human",
            "Human activity",
            "Fundamental",
            "Human behaviour"
          ],
          "source": "w"
        }
      ],
      "derived": [
        {
          "word": "data-scientist"
        }
      ],
      "examples": [
        {
          "ref": "2012 October, Thomas H. Davenport, D.J. Patil, “Data Scientist: The Sexiest Job of the 21st Century”, in Harvard Business Review",
          "text": "Goldman is a good example of a new key player in organizations: the “data scientist.” It’s a high-ranking professional with the training and curiosity to make discoveries in the world of big data. The title has been around for only a few years. (It was coined in 2008 by one of us, D.J. Patil, and Jeff Hammerbacher, then the respective leads of data and analytics efforts at LinkedIn and Facebook.) But thousands of data scientists are already working at both start-ups and well-established companies.",
          "type": "quotation"
        },
        {
          "ref": "2013, Bill Schmarzo, Big Data: Understanding How Data Powers Big Business, John Wiley & Sons, page 41",
          "text": "The data scientist is responsible for mining the organization's data—structured and unstructured data that is both internal and external of the organization—to uncover new insights about the business. Data scientists are data hoarders, seeking […]",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A scientist involved in data science."
      ],
      "id": "en-data_scientist-en-noun-MseYZiIu",
      "links": [
        [
          "sciences",
          "sciences"
        ],
        [
          "scientist",
          "scientist"
        ],
        [
          "data science",
          "data science"
        ]
      ],
      "qualifier": "job",
      "raw_glosses": [
        "(job, sciences) A scientist involved in data science."
      ],
      "related": [
        {
          "word": "data science"
        }
      ],
      "topics": [
        "sciences"
      ],
      "translations": [
        {
          "code": "fr",
          "lang": "French",
          "sense": "a scientist involved in data science",
          "tags": [
            "feminine",
            "masculine"
          ],
          "word": "scientifique de données"
        },
        {
          "code": "de",
          "lang": "German",
          "sense": "a scientist involved in data science",
          "tags": [
            "masculine"
          ],
          "word": "Datenwissenschaftler"
        },
        {
          "code": "de",
          "lang": "German",
          "sense": "a scientist involved in data science",
          "tags": [
            "feminine"
          ],
          "word": "Datenwissenschaftlerin"
        },
        {
          "code": "hu",
          "lang": "Hungarian",
          "sense": "a scientist involved in data science",
          "word": "adattudós"
        },
        {
          "code": "ja",
          "lang": "Japanese",
          "sense": "a scientist involved in data science",
          "word": "データサイエンティスト"
        },
        {
          "code": "ru",
          "lang": "Russian",
          "roman": "data-sajentist",
          "sense": "a scientist involved in data science",
          "tags": [
            "masculine"
          ],
          "word": "дата-сайентист"
        }
      ]
    }
  ],
  "word": "data scientist"
}

{
  "derived": [
    {
      "word": "data-scientist"
    }
  ],
  "forms": [
    {
      "form": "data scientists",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "data scientist (plural data scientists)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "related": [
    {
      "word": "data science"
    }
  ],
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English nouns",
        "English terms with quotations",
        "en:Sciences",
        "en:Scientists"
      ],
      "examples": [
        {
          "ref": "2012 October, Thomas H. Davenport, D.J. Patil, “Data Scientist: The Sexiest Job of the 21st Century”, in Harvard Business Review",
          "text": "Goldman is a good example of a new key player in organizations: the “data scientist.” It’s a high-ranking professional with the training and curiosity to make discoveries in the world of big data. The title has been around for only a few years. (It was coined in 2008 by one of us, D.J. Patil, and Jeff Hammerbacher, then the respective leads of data and analytics efforts at LinkedIn and Facebook.) But thousands of data scientists are already working at both start-ups and well-established companies.",
          "type": "quotation"
        },
        {
          "ref": "2013, Bill Schmarzo, Big Data: Understanding How Data Powers Big Business, John Wiley & Sons, page 41",
          "text": "The data scientist is responsible for mining the organization's data—structured and unstructured data that is both internal and external of the organization—to uncover new insights about the business. Data scientists are data hoarders, seeking […]",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A scientist involved in data science."
      ],
      "links": [
        [
          "sciences",
          "sciences"
        ],
        [
          "scientist",
          "scientist"
        ],
        [
          "data science",
          "data science"
        ]
      ],
      "qualifier": "job",
      "raw_glosses": [
        "(job, sciences) A scientist involved in data science."
      ],
      "topics": [
        "sciences"
      ]
    }
  ],
  "translations": [
    {
      "code": "fr",
      "lang": "French",
      "sense": "a scientist involved in data science",
      "tags": [
        "feminine",
        "masculine"
      ],
      "word": "scientifique de données"
    },
    {
      "code": "de",
      "lang": "German",
      "sense": "a scientist involved in data science",
      "tags": [
        "masculine"
      ],
      "word": "Datenwissenschaftler"
    },
    {
      "code": "de",
      "lang": "German",
      "sense": "a scientist involved in data science",
      "tags": [
        "feminine"
      ],
      "word": "Datenwissenschaftlerin"
    },
    {
      "code": "hu",
      "lang": "Hungarian",
      "sense": "a scientist involved in data science",
      "word": "adattudós"
    },
    {
      "code": "ja",
      "lang": "Japanese",
      "sense": "a scientist involved in data science",
      "word": "データサイエンティスト"
    },
    {
      "code": "ru",
      "lang": "Russian",
      "roman": "data-sajentist",
      "sense": "a scientist involved in data science",
      "tags": [
        "masculine"
      ],
      "word": "дата-сайентист"
    }
  ],
  "word": "data scientist"
}