Senior Data Scientist

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.

• Design, develop, and validate statistical and machine-learning models to support large-scale decision-making and policy design in a dynamic marketplace. 

• Formulate real-world problems using probabilistic modeling, optimization, and causal inference, accounting for uncertainty, constraints, and behavioral responses. 

• Partner with product, pricing, operations, and business teams to translate strategic questions into clear analytical and modeling frameworks. 

• Design and analyze experiments (A/B tests, quasi-experiments, uplift and response modeling) to measure the impact of decisions and policy changes. 

• Develop interpretable models and analytical insights that explain mechanisms and trade-offs, not just outcomes. 

• Collaborate with data and ML engineers to ensure models are production-ready, while maintaining ownership of model assumptions, evaluation methodology, and performance metrics. 

• Act as a subject-matter expert in statistics and machine learning, reviewing analytical approaches and challenging weak or unjustified assumptions. 

• Define and monitor metrics that reflect system health, user experience, and long-term marketplace stability. 

• Communicate results and recommendations through clear, structured narratives suitable for non-technical stakeholders. 

• Mentor junior data scientists on statistical reasoning, modeling discipline, and experimental design. 

• Strong theoretical foundation in: 
   - Probability and statistics 
   - Machine learning 
   - Optimization 

• 3+ years of experience as a Data Scientist, with increasing ownership over high-impact analytical or modeling problems. 

• Proficiency in Python for data Science and modeling (NumPy, Pandas, Scikit-learn; PyTorch/TensorFlow ). 

• Strong SQL skills and experience with large-scale analytical datasets. 

• Strong hands-on experience designing, executing, and analyzing controlled experiments (A/B and multivariate tests) in real-world production environments. 

• Hands-on experience in experimentation and statistical evaluation, including metric definition and power analysis. 

• Ability to reason rigorously under uncertainty and produce quantitatively defensible recommendations. 

• Strong communication skills, capable of explaining complex analytical results to non-technical audiences. 
   

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