DirecciónJob Purpose : As Data Scientist, you will be the responsible on proactively fetching information from various sources and analyse it for better understanding about how the business performs, and to build AI tools that automate certain processes within the company.
Main Accountabilities and tasks : Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for Adecco BusinessResearch, experiment, and utilize leading Big Data technologies, Data Lakes, SQL and no SQL databases, Microsoft stack will be a plus.
Extending companys data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerBuilding high quality prediction systems integrated with our products
Requisitos Requirements : Technical knowledgeProgramming languages : Python (R will be also considered)Big data analytics, data mining and predictive analysisML / DL general knowledge : Supervised learning techniques : linear and logistics regression, Bayesian networks, random forest, xgboost, ANN,Unsupervised learning techniques : hierarchical and agglomerative clustering, ontology modelsML / DL framework stack : Keras / Tensorflow, Scikit-Learn, Numpy, Pandas (Pytorch will be also considered)Data engineer knowledge : databases management, cluster architectures, programming / scripting languages and data processing systemsExperienceRequired : At least 4 years of proven experience as Data ScientistExperience working with relational databasesAt least 2 years of experience with programming, data analysis, problem solving and algorithm developingAt least 2 years of experience with python and SQLExcellent communication and presentation skills in English
Responsabilidades
To be considered : Experience with Big Data technologies, Spark, SQL / No SQL databases, etcExperience with Microsoft AzureReporting tools and data discovering tools (Power BI and Microstrategy)Model deployment in both on-premise and Cloud (Azure)Dynamic pricing modelling experienceBSc / BA in Computer Science, Engineering or relevant field;
graduate degree in Data Science or other quantitative field is preferred
