Present the findings in a clear and informative way
Convert large volumes of structured and unstructured customer data using advanced analytical solutions
Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions
Turn analyzed data into actionable insights and business value
Create high-quality data visualizations
Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters
Educate and train others on Data Science related matters
Estimate, plan and coordinate the delivery of moderate sized projects
Evaluate and select Data Science tools and libraries
Requirements
3+ years of experience working in the Data Science field
1+ years of experience leading delivery teams in the Data Science field
Data focused applied mathematics (statistical analysis, machine learning)
Decent communication / presentation skills (including working English fluency)
RDBMS / SQL knowledge
Programming experience (Python preferred)
Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc
Big Data stack; Spark / MLlib
Proficiency with at least one of the Cloud providers
Experience with Data Science solutions productionalization
Bachelor’s / Master’s Degree in Computer Science, Math, Applied Statistics or a related field
Passion for learning new techniques and methodologies
Willingness to go the extra mile with a strong work ethic
Ability to handle strict deadlines and multiple tasks
Nice to have
Data visualization skills
NLP / text mining
We offer
Dynamic, entrepreneurial, high speed, high growth corporate environment
Diverse multicultural, multi-functional, and multilingual work environment
Opportunities for personal and career growth in a progressive industry
Global scope, international projects
Widespread training and development opportunities
Unlimited access to LinkedIn learning solutions
Competitive salary and various benefits
Sport and social teams support, recreation area, advanced CSR programs