Barcelona, Catalonia, Spain, Spain
February 12, 2024
Apply NowJob description
Job description:
- Prototypes advanced analytics data products (models for business recommendations, segmentations, optimizations & statistical forecasts) across marketing, sales, pricing & logistics
- In order to create the relevant algorithms which can improve how the business operates – the data scientists follow a series of steps. This cycle represents the data scientist responsibilities
- Business Understanding - acquire understanding of the business problem with the help of business analyst, by asking the right questions
- Data Understanding – Lead the exploration of the data. In order to acquire knowledge which will contribute to the success of the models
- Modelling – Create hypothesis of which models could fit the data, test the different hypothesis, find optimal parameters
- Results – Data scientist will share prototype results and get feedback to have its model improved
- Cycle will be repeated until the maturity is enough to be accepted for business use
- Strong Background in both Computing and Statistics (academical and/or by experience)
- Unsupervised and Supervised models including tree-based models and linear models in Python, R & Pyspark. Experience with (Deep) Neural Networks and Bayesian modelling is Desirable
- Databases (ex. Oracle, AWS S3)
- Big Data platforms (ex. Databricks, GCP, Cloudera)
- Knowledge of Visualization tools is highly desirable (ex. such as Tableau, PowerBi, Qlikview)
- Soft skills include working well in teams, dealing with uncertainty and ambiguity, business acumen, communication (mostly data storytelling)
