Data Scientist (m/f/d)
Barcelona, ES, 08018
ZF Friedrichshafen AG
ZF is a global technology company and supplies systems for passenger cars, commercial vehicles and industrial technology. Req ID 65171 Barcelona, Spain
What you can look forward to as Data Scientist (m/f/d):
- 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
Your profile as Data Scientist (m/f/d):
- 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)
Be part of our ZF team as Data Scientist (m/f/d) and apply now!
Contact
Julia Ibele
(+49) 7541 77963555
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Bayesian Big Data Databricks GCP Julia ML models Oracle Power BI PySpark Python QlikView R Statistics Tableau
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