Position: Lead / Senior Data Scientist
Category: Data Science
English level: fluent
Years of experience: 4


Data Science:
* research: advanced applied mathematics and statistics, hypothesis evaluation, digital signal processing, time series analysis, operations research, system analysis.
* modelling: classical ML (supervised and unsupervised), dimensionality reduction, optimisation, linear, non-linear and stochastic programming, control and decision systems engineering.
* other: deep learning, text mining, NLP, numerical analysis, data visualisation.

Data architecture: big data and data science pre-sales and consulting, ML solution and pipelines design, API and DWH / data lake, data marts design (integration, data layout, cleansing, ingestion, governance).

Data engineering: ETLs, streaming and batch processing fault tolerant big data applications design (RDBMS, HDFS, Kafka, Spark, Spark Streaming, Akka, Akka Streams, BigQuery), prototyping, implementation and deployment.

DevOps: cloud and hybrid connectivity for big data solutions on Azure, GCP, AWS, distributed applications deployment, provisioning best practices, logging and monitoring, CI/CD, Linux networking, Kubernetes.