Data Scientist (Personalization)

• Become a subject matter expert and thought leader in Personalization and Recommendation Engines.
• Identify and suggest machine learning opportunities related to your area and beyond.
• Support defining and prioritizing machine learning projects.
• Work closely with Engineering and Product teams.
• Ensure data quality for all machine learning and analytics solutions.
• Perform exploratory data analysis and feature engineering.
• Train, validate, tune, deploy, and monitor machine learning models using MLOps infrastructure.
• Explain technical solutions clearly to business teams and support their communications.
• Maintain and improve technical documentation of solutions.
• Help develop the Data & AI domain's capabilities and improve collaboration.
• 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, Computer Science, Software Engineering, or a related quantitative field.
• Have at least three years of professional experience coding in Python and SQL at production quality.
• Be skilled in software engineering concepts including code profiling, optimization, scalability, testing, and cost optimization.
• Have prior experience with Personalization and Evaluation modelling techniques.
• Understand key statistical concepts such as statistical testing and causal analysis.
• Possess strong analytical thinking and problem-solving skills.
• Have an engineering mindset focused on delivering robust applied data science solutions.
• Be proficient in data visualization using Python libraries or BI tools.
• Be familiar with cloud platforms and their data/ML services, preferably Google Cloud Platform.
• Master the end-to-end machine learning model development lifecycle.
• Have excellent communication skills in professional English, both written and oral.
• Demonstrate a positive attitude, resilience, and strong interpersonal skills including empathy and team building.
• Be self-motivated with the ability to work independently and manage projects effectively.

Apply through the employer's official contact by submitting your application before the closing date, which has not been published.