966 python English-speaking jobs in Community of Madrid

NoSQL) and developing business solutions based on data Experience in programming languages such as Python

• Experience with Python, Java and/or Go, as well as web development languages such as NodeJS and

previous experience, and knowledge in: Probability and Statisticsbackground Programming knowledge in Python

Large experience with Python 3 Experience with cleaning tools and techniques, and data pre-processing

Proficient in coding (structured and OOP) using one or more high-level languages such as Python, Java

• Proficiency in programming languages such as Python and familiarity with NLP libraries (e.g., NLTK

modeling and advanced analytics to provide product-shaping insights Experience in statistical programming (Python

)- Minimum of 1 years of experience with manually auditing source code (One or more of: Java, Ruby, Python ... JavaScript, Rust, C, others) to find security issues.- Minimum of 1 years of experience scripting in Python

SystemVerilog, UVM) Experience with programming, scripting and automation languages(C/C++, shell, Perl, TCL, Python

HTTP, FTP, SOAP, REST…)* Understanding of SQL and DSL language* Knowledge of programming languages (Python

Programming skills in languages commonly used in bioinformatics (Python or R, etc).

Proficient in Python and scripting languages for automation.

Proficiency in Python and PySpark programming languages commonly used in Data Science.

Experience with scripting languages such as Python or JSON is a plus.

Proficiency in Python and PySpark programming languages commonly used in Data Science.

Experiencedeveloping with Python and Groovy. Experience with Robot Framework.

Proficient in scripting languages such as Bash and/or Python for automation purposes.

Proficiency in programming languages like Python, R, or SQL.

5+ years professional software testing experience 5+ years experience developing test automation in Python

Fluency in the core toolkit of Data Analytics: proficiency in SQL and Python (most common data libraries ... scalable analytic solutions using state of the art tools of Criteo analytics stack (Hadoop, Vertica, Python