Vacancy available: Boulogne-Billancourt

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    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 / Profile

    You will be involved in Data Science projects run by Davidson for its customers in varied sectors (Gaming, Wealth, Telecoms, Finance, etc.), working as an ML & DL specialist. Your role will be to support professional experts with various issues: natural language processing, image recognition, fraud detection, recommender systems, chatbots, etc.

    To this end, your duties will consist of:

    • Running workshops for expressing needs
    • Identifying, integrating and cross-referencing data sources (structured or unstructured)
    • Preparing and analysing data
    • Creating and implementing models
    • Prototyping and validating algorithms
    • Measuring gains made
    • Publicising and leveraging results
    • Monitoring technology developments and actively investigating opportunities

    Skills (pre-existing or to be acquired)

    • You are a trained engineer with a postgraduate degree, and have already completed a number of successful data science projects. With at least 2 years’ professional experience (and that’s just a bare minimum, OK?)
    • You’ll need scripting skills. And good maths skills are a definite advantage

    Talents/soft skills

    • Excellent interpersonal skills
    • Analytical ability
    • Curious
    • Natural teacher
    • Bilingual in English + SQL / Python

    Description of the segment's business

    Business Data


    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

    Follow your dreams, they know the way.

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