Consultor/a Data Scientist Senior con Inglés - Madrid, España - Spring Spain
Descripción
Job 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 Business
- Research, experiment, and utilize leading Big Data technologies, Data Lakes, SQL and no SQL databases, Microsoft stack will be a plus.
- Extending company's data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing adhoc analysis and presenting results in a clear manner
- Building high quality prediction systems integrated with our products
- Programming languages: Python (R will be also considered)
- Big data analytics, data mining and predictive analysis
- ML/DL general knowledge:
- Supervised learning techniques: linear and logistics regression, Bayesian networks, random forest, xgboost, ANN,
- Unsupervised learning techniques: hierarchical and agglomerative clustering, ontology models
- ML/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 systems
- At least 4 years of proven experience as data scientist
- Experience working with relational databases
- At least 2 years of experience with programming, data analysis, problem solving and algorithm developing
- At least 2 years of experience with python and SQL
- Excellent communication and presentation skills in English
To be considered:
- Experience with Big Data technologies, Spark, SQL/No SQL databases, etc
- Experience with Microsoft Azure
- Reporting tools and data discovering tools (Power BI and Microstrategy)
- Model deployment in both onpremise and Cloud (Azure)
- Dynamic pricing modelling experience
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