About Snapp
Snapp is the pioneer provider of ride-hailing mobile solutions in Iran that connects smartphone owners in need of a ride to Snapp 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 being the first choice of each user in Iran.
About Team:
Data Science is at the heart of Snapp’s products and decision-making. As a member of the Data Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation and many other services. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We work closely with many teams of the company to improve their products and decisions.
About Role:
As a Data Scientist, Decisions, you will leverage data and rigorous, analytical thinking to shape the company's product and business decisions. You will identify and scope opportunities, shape priorities, recommend solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, business, and operations stakeholders throughout the organization.
Responsibility:
- creation and development of predictive models using AI/ML technologies, including the installation and monitoring of production performance.
- Partner with business units and cross-functional teams to understand business requirements and integrate additional data needed for creating advanced models.
- Perform data feature engineering to collect and structure data, enhancing the modeling and analytical framework.
- Collaborate closely with engineers to deploy models in production, both in real-time and batch processes, and systematically track and optimize model performance.
- Act as a subject matter expert on machine learning and predictive modeling, providing guidance and insights.
- Drive technical innovation through active research and the application of new theories, techniques, and technologies.
- Mentor junior data scientists, providing guidance, support, and monitoring project progress.
- Communicate non-technical reports detailing project outcomes and insights to stakeholders.
- Formulate and oversee data-driven projects to advance business objectives, ensuring alignment with organizational goals.
- Develop structured frameworks, scalable tools, and organizational processes to enhance company planning and product performance.
- Design and analyze experiments, communicate results, and make launch decisions.
- Establish metrics to measure the health of products and the rider and driver experience.
