Consultant Data Science (en)

2020-10-20

The data scientist is a specialist in the execution of advanced analytical techniques to (big) data. His or her field of activity is statistics and data analysis. The data scientist can have an executive role, but can also have an advisory and influencing role on the application of data analyzes in the business process. The data scientist analyzes data from both internal data sources and external data sources and analyzes data from both structured data sources and unstructured data sources and every form in between. The data scientist has strong statistical knowledge but also some knowledge of ICT such as networks, databases and REST APIs. In addition, the data scientist also has knowledge of one or more business domains. Finally, the data scientist has the skills to communicate the results of the data analyzes with both business employees and IT employees. The data scientist translates abstract questions about the data into concrete solutions. The data scientist uses techniques such as: data mining, natural language processing, data profiling, text mining, semantics, artificial intelligence and data visualization. The data scientist invents and develops new complex data mining algorithms and machine learning algorithms and is responsible for research, design, prototyping and support of applications for data science applications.

Requested Personality

The data scientist is a forward-thinking person who combines business instinct with proven quantitative qualities and passion for this field. The data scientist would like to use analytical and conceptual skills in a “practice-driven” big data setting, so that he or she actually sees the effects of the models. Although the data scientist likes to “immerse” himself or herself in extensive databases, he or she also enjoys researching, together with stakeholders, how the models can be effectively deployed and scaled up.

Requested soft skills

  • Excellent communication skills;
  • Entrepreneurship and initiative;
  • Team player and accessible;
  • Knowledge-sharing;
  • Always continuous next;
  • Organization Aware;
  • Commercially Aware.

Requested technical skills (some of them)

  • In-depth knowledge of Statistics, Data Mining and Machine Learning;
  • Knowledge of or experience with one or more programming languages such as R, PYTHON, C, SQL, SPARQL, XQUERY and JAVASCRIPT;
  • Ecosystems such as Horton Works and Cloudera, from statistical software such as SAS, SPSS and MatLab;
  • Knowledge of or experience with Agile working methods such as the Scrum methodology.

Requested other skills

  • At least a Bachelor in Computer Science, Business Informatics, Artificial Intelligence or comparable;
  • Analytical skills, attention to details, result-oriented, enthusiastic, practical, independent and good communication skills;
  • Speak and write at least English and Dutch;
  • Continuous learning;
  • Willingness to travel;
  • Mindset to work 40-50 hours a week;
  • Be there when shit hits the fan;
  • Relax when possible.

Wat does Bravinci offer

  • An indefinite contract with 25 vacation days;
  • High above market salary depending on your active consulting performance;
  • A passive addition to your active salary based on Bravinci performance outside the consulting unit;
  • A very transparent and informal culture, with a shared love for data dynamics;
  • All benefits that are important to you like:
    • Any type of mobility;
    • Pension accrual options.

Let's meet!

If you are interested in this vacancy, please send your CV to info@bravinci.com stating "Application" and be invited to an introductory meeting. You can personally visit us while doing the motivation for this position.

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Other vacancies

The data scientist is a specialist in the execution of advanced analytical techniques to (big) data. His or her field of activity is statistics and data analysis. The data scientist can have an executive role, but can also have an advisory and influencing role on the application of data analyzes in the business process. The data scientist analyzes data from both internal data sources and external data sources and analyzes data from both structured data sources and unstructured data sources and every form in between. The data scientist has strong statistical knowledge but also some knowledge of ICT such as networks, databases and REST APIs. In addition, the data scientist also has knowledge of one or more business domains. Finally, the data scientist has the skills to communicate the results of the data analyzes with both business employees and IT employees. The data scientist translates abstract questions about the data into concrete solutions. The data scientist uses techniques such as: data mining, natural language processing, data profiling, text mining, semantics, artificial intelligence and data visualization. The data scientist invents and develops new complex data mining algorithms and machine learning algorithms and is responsible for research, design, prototyping and support of applications for data science applications.

Requested Personality

The data scientist is a forward-thinking person who combines business instinct with proven quantitative qualities and passion for this field. The data scientist would like to use analytical and conceptual skills in a "practice-driven" big data setting, so that he or she actually sees the effects of the models. Although the data scientist likes to "immerse" himself or herself in extensive databases, he or she also enjoys researching, together with stakeholders, how the models can be effectively deployed and scaled up.

Requested soft skills

  • Excellent communication skills;
  • Entrepreneurship and initiative;
  • Team player and accessible;
  • Knowledge-sharing;
  • Always continuous next;
  • Organization Aware;
  • Commercially Aware.

Requested technical skills (some of them)

  • In-depth knowledge of Statistics, Data Mining and Machine Learning;
  • Knowledge of or experience with one or more programming languages such as R, PYTHON, C, SQL, SPARQL, XQUERY and JAVASCRIPT;
  • Ecosystems such as Horton Works and Cloudera, from statistical software such as SAS, SPSS and MatLab;
  • Knowledge of or experience with Agile working methods such as the Scrum methodology.

Requested other skills

  • At least a Bachelor in Computer Science, Business Informatics, Artificial Intelligence or comparable;
  • Analytical skills, attention to details, result-oriented, enthusiastic, practical, independent and good communication skills;
  • Speak and write at least English and Dutch;
  • Continuous learning;
  • Willingness to travel;
  • Mindset to work 40-50 hours a week;
  • Be there when shit hits the fan;
  • Relax when possible.

Wat does Bravinci offer

  • An indefinite contract with 25 vacation days;
  • High above market salary depending on your active consulting performance;
  • A passive addition to your active salary based on Bravinci performance outside the consulting unit;
  • A very transparent and informal culture, with a shared love for data dynamics;
  • All benefits that are important to you like:
    • Any type of mobility;
    • Pension accrual options.

Consultant Business Intelligence (en)

The data scientist is a specialist in the execution of advanced analytical techniques to (big) data. His or her field of activity is statistics and data analysis. The data scientist can have an executive role, but can also have an advisory and influencing role on the application of data analyzes in the business process. The data scientist analyzes data from both internal data sources and external data sources and analyzes data from both structured data sources and unstructured data sources and every form in between. The data scientist has strong statistical knowledge but also some knowledge of ICT such as networks, databases and REST APIs. In addition, the data scientist also has knowledge of one or more business domains. Finally, the data scientist has the skills to communicate the results of the data analyzes with both business employees and IT employees. The data scientist translates abstract questions about the data into concrete solutions. The data scientist uses techniques such as: data mining, natural language processing, data profiling, text mining, semantics, artificial intelligence and data visualization. The data scientist invents and develops new complex data mining algorithms and machine learning algorithms and is responsible for research, design, prototyping and support of applications for data science applications.

Requested Personality

The data scientist is a forward-thinking person who combines business instinct with proven quantitative qualities and passion for this field. The data scientist would like to use analytical and conceptual skills in a "practice-driven" big data setting, so that he or she actually sees the effects of the models. Although the data scientist likes to "immerse" himself or herself in extensive databases, he or she also enjoys researching, together with stakeholders, how the models can be effectively deployed and scaled up.

Requested soft skills

  • Excellent communication skills;
  • Entrepreneurship and initiative;
  • Team player and accessible;
  • Knowledge-sharing;
  • Always continuous next;
  • Organization Aware;
  • Commercially Aware.

Requested technical skills (some of them)

  • In-depth knowledge of Statistics, Data Mining and Machine Learning;
  • Knowledge of or experience with one or more programming languages such as R, PYTHON, C, SQL, SPARQL, XQUERY and JAVASCRIPT;
  • Ecosystems such as Horton Works and Cloudera, from statistical software such as SAS, SPSS and MatLab;
  • Knowledge of or experience with Agile working methods such as the Scrum methodology.

Requested other skills

  • At least a Bachelor in Computer Science, Business Informatics, Artificial Intelligence or comparable;
  • Analytical skills, attention to details, result-oriented, enthusiastic, practical, independent and good communication skills;
  • Speak and write at least English and Dutch;
  • Continuous learning;
  • Willingness to travel;
  • Mindset to work 40-50 hours a week;
  • Be there when shit hits the fan;
  • Relax when possible.

Wat does Bravinci offer

  • An indefinite contract with 25 vacation days;
  • High above market salary depending on your active consulting performance;
  • A passive addition to your active salary based on Bravinci performance outside the consulting unit;
  • A very transparent and informal culture, with a shared love for data dynamics;
  • All benefits that are important to you like:
    • Any type of mobility;
    • Pension accrual options.

Consultant Data Engineering (en)