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Senior Data Scientist

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

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 being the first choice of each user in Iran.

About the Role

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.

Key Responsibilities:

  • Analytical Insight: Apply critical thinking and analytical skills to extract actionable insights from complex datasets, guiding CRM strategy and business decisions.

  • Model Development: Develop and implement predictive and prescriptive models using advanced machine learning techniques to enhance internal and external products.

  • Data Integration: Identify, integrate, and clean diverse data sources to improve modeling, analysis, and decision-making.

  • Experimentation & Measurement: Design, analyze, and evaluate A/B tests and other experimental setups to measure impact and inform future strategies.

  • Technical Expertise: Serve as a subject matter expert on machine learning and predictive modeling, sharing knowledge with cross-functional teams.

  • Python & SQL Proficiency: Write efficient Python code for analysis and modeling; design complex SQL queries to extract and manipulate data from relational and non-relational databases.

Job requirements

Experience:

  • 2+ years of experience in data science, analytics, or related fields.

Technical Skills:

  • Advanced Python programming and data analysis skills

  • Strong SQL expertise for complex data manipulation

  • Hands-on experience in machine learning and predictive modeling

Soft Skills:

  • Analytical Mindset and detail-oriented

  • Team-oriented with excellent collaboration skills

  • Ability to multitask and manage competing priorities

  • Flexible and adaptable in a fast-paced environment

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