Senior Data Scientist

Responsibilities

• Identify the business problems
• Find the right data and methods to address them
• Build and validating analytical models
• 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