Role & responsibilities Proficiency in SQL and data warehouses (BigQuery, Snowflake). • Python for statistical modeling. • Machine learning frameworks (scikit-learn, TensorFlow). • Statistical analysis and hypothesis testing. • Data visualization tools (Matplotlib, Seaborn). • Version control systems (Git). • Understanding of Google Cloud Function and Cloud Run Analytical thinker with strong problem-solving skills. • Clear communication and ability to work collaboratively with cross-functional teams. • Detail-oriented and committed to data accuracy and quality.Preferred candidate profile CLTV modeling. • RFM analysis and customer segmentation. • Survival analysis and hazard modeling. • A/B testing and causal inference. • Feature engineering and selection. • Model validation and monitoring. • Cloud computing platforms (GCP/AWS/Azure). Education: Bachelors degree in Computer Science, Information Systems, or a related field. • Experience: • 3+ years of experience in data engineering, with a specific focus on Snowflake or other cloud-based data warehousing technologies. Perks and benefits Analytical & Problem-Solving: Strong analytical and problem-solving abilities. • Communication: Excellent communication and presentation skills. • Collaboration: Ability to work effectively in a team environment. • Organization: Strong organizational skills. Work on innovative data science projects. • Develop expertise in cutting-edge ML technologies. • Learn from experienced data science leaders. • Contribute to impactful analytical solutions. • Opportunities for career advancement

Role & responsibilities Snowflake: Expertise in building, optimizing, and managing data warehousing solutions on Snowflake. SQL: Strong knowledge of SQL for querying and managing relational databases, writing complex queries, stored procedures, and performance tuning.Preferred candidate profile Python: Proficiency in Python for scripting, automation, and integration within data pipelines. • Experience in developing and managing ETL processes, and ensuring data accuracy and performance. • Hands-on experience with data migration and integration processes across cloud platforms. • Familiarity with data security and governance best practices. • Strong problem-solving skills with the ability to troubleshoot and resolve data-related issues.Perks and benefits