PivotRoots - Associate Data Scientist - BigQuery/Snowflake DB (2-4 yrs)

Key Responsibilities :

- Implement and maintain models like CLTV prediction, propensity modeling, and churn prediction.

- Support the development of customer segmentation models using clustering techniques and behavioral analysis.

- Assist in building and maintaining survival models to analyze customer lifecycle events.

- Work with large-scale datasets using BigQuery and Snowflake.

- Develop and validate machine learning models using Python and cloud-based ML platforms (BQ ML, ModelGarden, Amazon Bedrock).

- Translate model insights into actionable business recommendations.

- Work with analytics and activation teams to implement model outputs.

- Present analyses to stakeholders in clear and actionable formats.

Qualifications :

Education : Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience : 2-4 years of experience in applied data science, preferably in marketing/retail.

Technical Skills :

- 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

Preferred Experience :

- 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)

Soft Skills :

- Analytical & Problem-Solving : Strong analytical and problem-solving abilities.

- Communication : Excellent communication and presentation skills.

- Business Acumen : Understanding of business contexts and how data science can drive business value.

- Collaboration : Ability to work effectively in a team environment.

- Organization : Strong organizational skills.

Growth Opportunities :

- 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.