Joining Davidson not only means joining a group of 3,000 consultants in 6 countries and 2 continents, but also joining a company that has been voted a Great Place To Work France and Europe by its employees for no less than 4 years, as well as one of the largest B Corps in France, named Best in the World in the “employees” category in 2022! (“B Corps” form a community of companies that have decided not to be the best in the world but the best FOR the world).

Because our development is based on strong principles:

  • Deep respect for all our stakeholders: consultants, customers and suppliers. Because if work “can’t buy you happiness”, it can however cause unhappiness. Therefore, we are committed to listening and acting honestly.
  • Equal opportunities in the processing of our applications and in the career management of our employees. We believe in a workplace where gender equality, inclusion and diversity are the norm.
  • A minimal environmental impact and a maximum societal impact. That’s why, beyond the work you’ll be carrying out, you’ll also be able to contribute to projects that Davidson supports: international solidarity work (with Planète Urgence), volunteering with charities (each Davidsonian has 3 days a year to work with them), supporting students from underprivileged backgrounds (with Article 1), investing in startups developing innovative solutions, collective and individual actions to reduce our carbon footprint, etc.
  • Adhocratic management based on the implementation of the principles of “horizontal company” and “tribal management”. One important detail on this last point: well-being at work is a luxury that we must be able to grant ourselves by being a “solid” company. For Davidsonians, this means combining initiative, commitment and professionalism. Because “talent without work is nothing”. And it encourages us to recruit .. who are better than us…

We encourage applications from people with disabilities, and we are committed to meeting their specific needs in the best possible way.

Mission / Profil

You will be involved in Data projects run by Davidson for its customers in varied sectors (Gaming, Wealth, Telecoms, Finance, etc.), working on the deployment of our customers’ “data” strategies.

For this, you will need to:

  • Participate in defining our customers’ “vision” for developing their data strategies
  • Define Master Data
  • Implement governance methods: contribute to mapping, define roles, usage and access rules, data security
  • Draft data management procedures
  • Identify and implement data exploitation initiatives for existing and future use cases
  • Ensure compliance with regulations governing data (GDPR, etc.)
  • Monitor data, manage queries, check consistency
  • Produce associated reports
  • Train users to exploit Data Management
  • Steer plans for improving how the Data is processed: suggestions for architectures, Big Data toolsets and procedures
  • Suggest innovations (for example, using Machine Learning to improve data management)

 

Skills (pre-existing or to be acquired)

  • You will have a postgraduate degree and some initial successful experience in data management. And at least 5 years’ professional experience (and that’s just a bare minimum, OK?)
  • SQL and NoSQL skills, obviously
  • And if possible: Machine Learning and BI

 

Talents/soft skills

  • Excellent interpersonal skills
  • Analytical ability
  • Curious
  • Thorough
  • English language

Description of the segment's business

Business Data

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Today, data is a strategic asset that is central to the digital transformation of businesses and acts as the bedrock for creating multiple new services. Davidson’s unique data expertise enables it to deliver an end-to-end service for its customers, whether they’re data-driven or are “simply” looking to get the most out of their data.

Our business lines:

  1. Support for implementing a data strategy
  2. Big data architecture
  3. Data visualisation
  4. Data science

Our technical environment:

  • Infrastructures & Storage: Cloud (AWS, Azure, Google Cloud Platform), Cloudera,
  • MapReduce, Hortonworks, mongoDB, Hadoop, Cassandra, Splunk, Redis, CouchDB
  • Data-processing: Spark, Scala, Kafka, Logstach, Elasticsearch, Hive, Storm, Flink
  • Analytics: R, Python, SPSS&SAS, TensorFlow, Sickit learn
  • Dataviz: grafana, dataiku, kibana, Tableau, Qlik, JS proprietary tool
  • DevOps & containers: Docker, puppet, Jenkins, Sonar, Openshift, Kubernetes, Ansible
  • Fields: machine learning, deep learning
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