Data Scientist - Pricing

• Become a subject matter expert in pricing optimization, including dynamic pricing, discounts, and personalized pricing.
• Identify and suggest machine learning opportunities related to pricing and beyond.
• Help define and prioritise machine learning projects.
• Work closely with engineering and product teams.
• Ensure data quality for machine learning and analytics solutions.
• Perform exploratory data analysis and feature engineering.
• Train, validate, tune, deploy, and monitor machine learning models using MLOps infrastructure.
• Communicate technical solutions clearly to product teams and maintain technical documentation.
• Support the development of technical capabilities and collaboration within the Data & AI domain.
• Promote a data-driven culture by sharing knowledge and participating in team activities.

• Hold a Master's degree or higher in Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics, or a related quantitative field.
• Have at least 2 years of professional experience coding in Python and SQL with production-quality standards.
• Understand software engineering concepts like code profiling, optimization, scalability, testing, and cost management.
• Have prior experience or knowledge in pricing, economics, or econometrics is preferred.
• Be familiar with statistical testing and causal analysis.
• Demonstrate strong analytical thinking and problem-solving skills.
• Have an engineering mindset aimed at delivering robust applied data science solutions.
• Possess visualization skills using Python libraries or analytics/BI tools.
• Be familiar with cloud platforms and their data/ML services, preferably Google Cloud Platform (GCP).
• Master the complete machine learning model development lifecycle.
• Have excellent communication skills in professional English, both written and oral.
• Show a positive attitude, resilience, and strong interpersonal skills including empathy and team building.
• Be self-motivated with the ability to manage projects independently.
• Experience in on-demand, mobility, or financial services sectors is a plus.
• Experience with machine learning features for digital products like apps or websites is a plus.

Apply through the employer's official contact. The employer has not published a closing date.