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Les derniers profils de Data scientist Grenoble

CV Ingénieur R&D - IA, Computer Vision
Yoann

Ingénieur R&D - IA, Computer Vision

  • CHAMP-SUR-DRAC
Python Data PyTorch C++ SQL
Bientôt disponible
CV DevOps Ansible
Chiraz

DevOps Ansible

  • GRENOBLE
Ansible CI/CD Linux Python Git
CV Senior Data Scientist
Adel

Senior Data Scientist

  • GRENOBLE
SQL Python Microsoft Power BI Data R Github Data Science Excel
CV Data Analyst PYTHON
Khadim

Data Analyst PYTHON

  • EYBENS
Python Django
CV Développeur JAVA
MašA

Développeur JAVA

  • GRENOBLE
SQL Java Angular Python Node.js MongoDB Spring
CV Data Scientist
Sarra

Data Scientist

  • GRENOBLE
Excel SQL Cloud AWS Python Data Science Data
CV Lead Data Scientist
Noujoud

Lead Data Scientist

  • , La Tronche
Data Data Science Python
CV Data Analyst Google Cloud Platform
Abdelouahab

Data Analyst Google Cloud Platform

  • GRENOBLE
Google Cloud Platform
CV Data Scientist Analyst
Muhammed Selcuk

Data Scientist Analyst

  • VIENNE
Python SQL Excel Data Microsoft Power BI SQL Server R
CV Senior Data Engineer
Yaovi

Senior Data Engineer

  • GRENOBLE
Python Dataiku Big Data Apache Spark SQL SQL Server Scala Apache Kafka Kubernetes Docker
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Les nouvelles missions de Data scientist Grenoble

Ingénieur Devops AWS

Amazon AWS DevOps Linux Windows HashiCorp Terraform Docker
ASAP
38 - GRENOBLE
6 mois
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Développeur Magento

Magento
ASAP
38 - GRENOBLE
3 mois
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Exemple de missions d'Alexandre,
Data Scientist freelance

  • DATA SPECIALIST - FREELANCER

    THRIAE |Toulon, FRANCE
    Jan 2022 - aujourd'hui

    Being a Jack of all trades, master of some, I am involved in many different data solution projects. From
    data engineering to data science problems, I make sure to listen properly in orderto understand and
    assist my partners in developing their dream solutions.
    During my last project, I led a team of data scientists and developed a Hijack panic button model
    classifierfor a vehicle tracking system company. Due to the speed requirements, we had to deploy our
    ML model using Spark and Kafka Streaming.

  • PRINCIPAL DATA SCIENTIST - DATA & ML ENGINEER

    PRAELEXIS | Cape Town, SOUTH AFRICA
    Jan 2018 - Jan 2022

    • As a Principal Data Scientist and ML Engineer, I led a team of data scientists during many projects.
    This included the development and deployment of a state-of-the-art FNOL (First Loss of
    Notification) classification model for a leading vehicle tracking system company. My goal was dual:
    ensuring that the client’s needs were addressed by aligning the business requirements with the
    technical agenda, in addition to guiding the team, designing and implementing the solution.
    • As a Data Engineer, I was involved with the Client Profile team of a leading South African bank.
    Deployed an elastic Airflow clusterfrom scratch using Kubernetes and implemented new
    workflows into theirinfrastructure. Itreduced cloud expenses and improved past performances.
    In addition, we migrated their massive-scale data engineering and collaborative data science
    platform from Azure HDInsight to Databricks. The design of the solution used advanced
    technologies such as Docker, Kubernetes, Airflow and Spark. Another project dealt with the
    development of a streaming platform using Kafka and Spark Structured Streaming for an online
    betting company.
    • As a Senior Data Scientist, I collaborated with the credit-granting department of a large South
    African bank. We implemented Deep Learning models to automate credit labeling in orderto help
    branch managers speed up the process of granting credits. This allowed the bank to drastically
    reduce the cost of granting credit. In conjunction, we also developed a Migration model
    (recalculates the probability of defaulting 6 months afterthe client has been granted the credit)
    and an online credit automation system.

  • DATA SCIENTIST

    VASTECH | Cape Town, SOUTH AFRICA
    Jan 2016 - Jan 2018

    As a Data Scientist, I contributed to the development of a threat detection platform for governmental
    entities, based on a Sentiment Analysis model. Using large amounts of text data (SMS and emails), this
    model leveraged advanced NLP techniques such as pre-trained word vectors, CNN and RNN algorithms.

  • JUNIOR DATA SCIENTIST

    AEGYS | Toulouse, FRANCE
    Jan 2016 - Jan 2016

    As a Junior Data Scientist consultant for Airbus Group in the supply chain department, I have developed
    an ML model which predicted whether or not a future delivered product will arrive late or deficient.

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