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We are looking for a Data Scientist that is eager to explore the world of Big Data and stretch the capabilities of our tools. We want you to take charge and bring new ideas, new projects and new technologies to the table. We want you to embark in the driving seat of the Advanced Analytics future and build the most exciting and innovating Machine Learning models. You will wonder in the world of open-source programming languages like Python and R and integrate yourself in the Hadoop unlimited possibilities combined with the power of the Spark framework.
Job Responsibility:
Machine Learning driven models development
Business inquire regarding future model developments
Develop and maintain reports regarding the model performances
Data Sources discovery and manipulation
Production integration for developed models
Results communication by translating insights into business value
Requirements:
A degree with strong fundamentals in mathematics or computer science or other related fields
3+ years experience working in a data science role in a commercial environment (financial and banking would be a plus)
Very good knowledge about statistics including distributions, correlations, probabilities, hypothesis testing etc
Experience with machine learning algorithms and techniques (dimensionality reduction, classification, clustering, regression, time series, association rules etc)
In-depth knowledge of industry standard techniques for data processing, data management, data delivery, data mining, analysis and reporting (SQL)
Very good experience with Python including Sklearn/Statsmodels/Pandas/Numpy/Scipy/etc (any other experience in using a scripting programming would be a plus)
Experience with visualization tools (Power BI/Plotly/GGplot/etc )
Understand the big data ecosystem and its major components (HDFS, YARN, MapReduce, Spark,Pig, Hive, Kafka etc.)
Experience with ML/Ops, CI/CD pipelines
High analytical abilities and curiosity for finding hidden insights in data