Practice of programming in Python
Comfortable working in Linux and windows environment
Practice of source control, code review, testing frameworks
Practice of Big Data frameworks, like Hadoop, Spark
Knowledge of both Sql and noSql databases (Columns, Documents, Key - Value)
Cloud Basic knowledge of cloud environment, constraints and opportunities Statistics
Basic statistics knowledge, probability, correlation, regression, linear algebra, stochastic process
Practice of data analysis, data cleanup, data investigation, how to detect and handle unbalance, bias and noise
Proficient in data structures and algorithms, in particular: lists, queues, trees, graphs, and sorting, searching, traversing, dynamic programming, and map - reduce pattern
Knowledge and practice of ML and NN algorithms and frameworks
Knowledge and practice of Natural Language Processing
Others
Practice of data mining and data science projects, from understanding the problem to presenting results and deploying in production
Communication skills, project presentation, capacity to popularize technics and results
Knowledge of Data Mining / Data Science projects and publications
Practice of programming in other languages like R, java, Julia, Matlab
Practice working on Jupyter notebook/lab or VS Code
Practice working on Git/Github
Cloud
Practice on AWS cloud / SageMaker
RoleSoftware Developer
Industry TypeIT-Software, Software Services
Functional Area IT Software - Application Programming, Maintenance,
Programming & Design