Data Science

Apply statistical and machine learning methods to analyze large and complex datasets, providing insights and actionable recommendations in customer acquisition, segmentation, and personalized marketing areas.

Collaborate with engineering and business teams to implement end-to-end process from model development to testing, validation, deployment.

Plan and conduct A/B testing to verify model performance and assess the effectiveness of the campaign for future enhancement.

Solve complex issues on both technical and business sides using advanced analytical techniques.

0 to 3 years of professional experience as a Data Scientist/ML Engineer

Proficiency in Python, PySpark, and SQL for large-scale data processing.

Good understanding and hand-on experience in ML (e.g. classification/regression, tree-based model, clustering, SVMs, PCA) or NLP development

Strong analytical and problem-solving skills

Good communication and interpersonal skills to effectively interact with cross-functional team