
Only 24h Left Data Scientist/ Pricing Analyst
1 week ago
Key Responsibilities
- Develop and deploy personalised pricing models using historical behaviour, purchase intent, segmentation, and contextual data.
- Apply advanced statistical and machine learning techniques to estimate demand curves and user-level price sensitivity.
- Design and execute pricing A/B tests, analyzing lift, revenue impact, and user experience trade-offs.
- Develop dynamic pricing frameworks that adjust in real-time based on inputs such as location, time, inventory, and user cohorts.
- Collaborate with engineering teams to integrate models into pricing engines and user-facing platforms.
- Communicate findings clearly to business stakeholders and make data-backed pricing recommendations.
Must-Have Qualifications
- 3-6 years of experience in data science, pricing, or quantitative strategy roles.
- Strong programming skills in Python and SQL; experience with libraries like scikit-learn, stats models, or XGBoost.
- Deep knowledge of pricing analytics, revenue management, and behavioral economics.
- Experience in building predictive models for conversion, elasticity, or revenue uplift.
- Ability to synthesize complex data into actionable strategies with business impact.
- Strong experimentation mindset with familiarity in causal inference and A/B testing methodologies.
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