Requirement For Data Scientist

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