Vacancy available: Boulogne-BillancourtLyon

    I discover the profile of recruiters

    When you come to work at Davidson, you won’t just be joining a group of 3,000 consultants in 6 countries and 2 continents, you’ll be joining “the” company named by its employees as Great Place To Work France and Europe for four years, as well as the largest B Corp in France.
    “B Corps” form a community of companies that have decided that, rather than being the best in the world, they’ll be the best *for* the world.
    Our growth is based on strong principles:

    Deep respect for all our stakeholders: consultants, customers and suppliers, because although work can’t “buy happiness”, it can “cause unhappiness”. We’re therefore committed to listening, acting honestly and promoting equality (Women / Men but not only).
    A minimum environmental footprint and a maximum societal footprint. This is why, aside from the assignments you’ll be working on, you’ll also have the chance to contribute to the projects Davidson supports: international solidarity assignments (with Planète Urgence), supporting students from disadvantaged backgrounds (with Article 1) and investing in start-ups that develop innovative solutions.
    Adhocratic management based on implementing “horizontal company” and “tribal management” principles.

    One important point about the latter: well-being at work is a luxury you need to have as a “solid” company. For the Davidson teams, this means marrying initiative, commitment and professionalism, as “without work, talent is just a dirty habit”. It drives us to recruit components that are better than we are. In a classic hierarchical organisation, it can be beneficial to have an army of people who work for you. In an adhocracy, that doesn’t work.

    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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