Researching, designing and implementing appropriate machine learning algorithms
Selecting appropriate datasets and data representation methods
Running machine learning tests, experiment and performing statistical analysis
Present in a clear and concise way complex results using intuitive and beautiful data visualizations
Extending existing AI/ML libraries and frameworks
Being always up to date on the latest developments and breakthroughs in the field
Working smoothly as part of the R&D team and collaborating with different business functions on the entire lifecycle of the projects

Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields
2+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research
Strong skills in statistical modeling and machine learning, especially techniques such as bagging, random forests, gradient boosting, hyperparameter optimization techniques, Bayesian models, neural networks, time series analysis, signal processing etc.
Relevant coding experience in programming languages such as Python (or equivalent)
Excellent teamwork skills are a must
Creativity and ability to formulate problems and solve them both in team and independently
Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

Data Scientist

Key skills