Data Scientist (offline)

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.

Project is related to collection, visualization and analysis (including real-time) of the data received from production and test wells evaluation.
- Statistics collection from large data sets (Spark, Data Analysis)
- Building Predictive models based on data in Oil Industry Field (Spark, Machine Learning)
- Analyze data in order to target business goals like costs or risks reduction (Spark, Data Analysis, Data Mining)
- Distributed data computation (Spark)
Mandatory Skills Description:
Apache Spark
Data Engineering,
Nice-to-Have Skills:
Data Warehousing, Data Lakes
Understanding of fundamental algorithms (sorting, binary search, statistics etc.) and data structures (array, linked list, stack, queue, tree, heap, hash table, graph) in computer science
Knowledge of object-oriented programming principles (encapsulation, inheritance, polymorphism, SOLID principles)
Knowledge of common signal processing and filtering algorithms (FFT, bandpass filter, median filter, smoothing etc.)
Expertise in optimization/improvement of algorithms performance
Expertise in parallelizing of computational algorithms (Python multiprocessing, C/C++ multi-threading)
Expertise in distributed parallel computation frameworks (e.g. PySpark)
Experience in embedding Python programs to C/C++ code
Understanding of Python object serialization (pickle files)
English: B2 Upper Intermediate

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