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Data Scientist

  • On-site
    • Tehran, Tehrān, Iran, Islamic Republic of
  • Commercial

Job description

Our Journey So Far

At Snapp, we’re redefining how cities move. Our ride-hailing and mobility platform connects millions of riders and drivers every day, delivering safe, reliable, and efficient transport solutions. Powered by real-time data and robust infrastructure, we make urban travel faster, simpler, and more sustainable.

We operate with the mindset of a global tech leader and the agility of a startup, building services that scale across markets while staying responsive to local needs.

Your Impact
The mission of the Data Scientist in our Supply(Incentive) 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.

What You’ll Drive Forward

  • Model Development: Develop and implement predictive models using AI/ML technologies to improve the accuracy and effectiveness of our internal and external products.

  • Data Integration: Integrate additional data sources relevant to the Incentive team's goals to enhance modeling, analysis, and decision-making.

  • Data/Business Analytics: Translating complex business needs into actionable insights, designing and implementing experiments, and analyzing data to drive strategic decisions and growth.

  • Subject Matter Expertise: Serve as a subject matter expert on machine learning and predictive modeling, sharing knowledge and expertise with the Commercial team.

  • Python Proficiency: Demonstrate proficiency in Python libraries (Pandas, NumPy, SciPy, Stats Models, scikit-learn, Seaborn, and Matplotlib) for data analysis, modeling, and visualization.

  • SQL Expertise: Utilize advanced SQL knowledge to work with relational and non-relational databases, author complex queries, and retrieve/manipulate data.

  • Model Lifecycle Management: Successfully navigates the model build life-cycle, including feature selection, optimization, model selection, validation, and ongoing maintenance.

  • Business Mindset: Maintain a strong understanding of business logic, KPIs, and goals to ensure analytical outputs drive measurable impact and actionable business value.

What Powers Your Drive

  • 3+ years of experience in Business Analytics or Data Science

  • Strong attention to detail and commitment to deadlines

  • Proven ability to manage multiple tasks and collaborate effectively

  • Solid understanding of business logic, KPIs, and data-driven decision-making

  • Highly adaptable and solution-oriented mindset

  • Advanced proficiency in SQL and Python

  • Expertise in machine learning, predictive modeling, and deep learning

Ready to Get on Board?

Help us shape the future of ride-hailing and urban mobility. Submit your CV and let’s build smarter cities together.

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