شرح موقعیت شغلی
We are looking for a Data Scientist who will support our product with insights gained from analyzing company data. The ideal candidate must be able to visualize the data in an informative way, so that can spot existing problems and give solutions to the team; the solutions should be of different complexities for different periods. He/She must be so passionate and open to learning new methods.
The primary focus will be on applying data mining techniques, doing statistical analysis, building recommendation systems, and building systems for automated fraud detection integrated with our products.
·Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
·Develop custom data models and algorithms to apply to data sets.
·Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
·Cooperate with functional teams to implement models and monitor outcomes.
·Develop processes and tools to monitor and analyze model performance and data accuracy.
· Strong problem-solving skills with an emphasis on product development.
· Experience using statistical computer languages (Python, Postgresql, etc.) to manipulate data and draw insights from large data sets.
· Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
· Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, etc.).
· Excellent written and verbal communication and presentation skills both in English and Persian.
·A drive to learn and master new technologies and techniques.
·Experience working with R for data visualizations
·Experience visualizing/presenting data using: ggplot, pyplot, etc.
·Being Fresh Graduate
·Age range under 30
·Degree of Computer Engineering is a plus
We will offer you
·Insurance and all legal benefits
·Attractive and energetic working environment
·Working with a professional team