Data Scientist

Job description

About Snapp
Snapp is the pioneer provider of ride-hailing mobile solutions in Iran that connects smartphone owners in need of a ride to drivers who use their private cars offering transportation services. We are ambitious, passionate, engaged, and excited about pushing the boundaries of the transportation industry to new frontiers and be the first choice of each user in Iran.


The mission of the Data Scientist in our CRM team is to leverage data and analytical thinking to shape the company's product and business decisions. By applying machine learning techniques and algorithms, the Data Scientist will identify opportunities, recommend solutions, design experiments, and measure impact, ultimately driving improved campaign performance and decision-making processes.

  • Develop and implement predictive models using AI/ML technologies, resulting in a measurable improvement in the accuracy and effectiveness of our internal and external products.
  • Integrate additional data sources relevant to the CRM team's goals, enhancing the modeling and analytical framework and providing valuable insights for decision-making.
  • Serve as a subject matter expert on machine learning and predictive modeling, actively sharing knowledge and expertise with the CRM team, contributing to their professional development, and improving their understanding of data science concepts.
  • Demonstrate proficiency in Python libraries such as Pandas, NumPy, SciPy, Stats Models, scikit-learn, Seaborn, and Matplotlib, effectively utilizing these tools to analyze data, build models, and visualize results.
  • Utilize advanced SQL knowledge to work with both relational and non-relational databases, author complex queries, and effectively retrieve and manipulate data from various data sources.
  • Successfully navigates the model build life-cycle, including feature selection and optimization, model selection and validation, and ongoing model maintenance, ensuring models are accurate, reliable, and up-to-date.


  • Attention to Details
  • Multitasking
  • Team player
  • Flexibility
  • Advanced SQL
  • Advanced Python
  • Machine Learning and Predictive Models