Data Scientist (Pricing)
Yassir | Nairobi, Nairobi County, KE | hybrid
Apply for the Data Scientist (Pricing) role at Yassir in Nairobi, Kenya. Full-time hybrid opportunity for Python, SQL, machine learning, pricing optimization and MLOps professionals.
Job description
Yassir is hiring a Data Scientist (Pricing) for its central Data & AI organization, with Nairobi, Kenya listed among the available locations. The role focuses on pricing optimization and applied machine learning for high-impact mobility and digital-product use cases, including dynamic or surge pricing, discounts and commissioning optimization, and personalized pricing. The Data Scientist will work across exploratory analysis, feature engineering, model development, deployment, monitoring, and business communication.
Responsibilities
- Become a subject-matter expert and thought leader for pricing-optimization capabilities such as dynamic / surge pricing, discounts / commissioning optimization, and personalized pricing.
- Identify and propose new machine-learning opportunities within the pricing scope and beyond.
- Support requirements definition and prioritization for machine-learning projects.
- Collaborate with cross-functional Engineering and Product teams.
- Champion data quality as a critical input to machine-learning solutions and analytics.
- Conduct exploratory data analysis and perform feature selection and feature engineering.
- Use statistical and machine-learning techniques for model training, validation, and tuning.
- Visualize analytical and modelling results using meaningful and actionable metrics.
- Deploy and test machine-learning applications using Yassir's MLOps infrastructure.
- Monitor model technical performance, business impact, underlying data quality, and concept drift.
- Explain technical solutions in business-friendly language and support Product teams with communication and reporting.
- Maintain and improve technical documentation for delivered solutions.
- Contribute to the Data & AI domain's technical capabilities, ways of working, knowledge sharing, and data culture.
Requirements
- Master's degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, or Physics.
- Strong mathematical, statistical, machine-learning, and software-development skills.
- At least 2 years of industry experience writing efficient, production-quality Python and SQL.
- Strong software-engineering fundamentals, including profiling, code optimization, scalability, QA/testing, and cost optimization.
- Prior experience with pricing, economics-related problems, or associated modelling techniques; Economics / Econometrics backgrounds are welcomed.
- Good understanding of statistical testing and causal analysis.
- Strong analytical thinking and problem-solving ability.
- Engineering mindset focused on robust applied data-science solutions.
- Visualization experience using Python libraries and/or analytics / BI tools.
- Familiarity with cloud data and machine-learning services; Google Cloud Platform experience is highly preferred.
- Strong understanding of the end-to-end machine-learning model development lifecycle.
- Excellent professional English communication, presentation, and documentation skills.
- Strong interpersonal skills, self-motivation, resilience, and ability to manage work independently.
Skills
- Data Science
- Machine Learning
- Pricing Optimization
- Dynamic Pricing
- Personalized Pricing
- Python
- SQL
- Statistics
- Causal Analysis
- Feature Engineering
- Predictive Modelling
- Model Validation
- Model Tuning
- MLOps
- Model Monitoring
- Data Quality
- Concept Drift Monitoring
- Google Cloud Platform
- Data Visualization
- Software Engineering
- Code Optimization
- QA / Testing
- Analytics / BI
- Product Collaboration