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5-7 years
PivotRoots - Senior Associate Data Scientist - BigQuery/Snowflake DB (5-7 yrs)
PivotRoots
posted 14d ago
Flexible timing
Key skills for the job
Key Responsibilities :
- Customer Analytics Modeling : Implement and maintain models like CLTV prediction, propensity modeling, and churn prediction.
- Customer Segmentation : Support the development of customer segmentation models using clustering techniques and behavioral analysis.
- Survival Analysis : Assist in building and maintaining survival models to analyze customer lifecycle events.
- Data Handling : Work with large-scale datasets using BigQuery and Snowflake.
- Model Development : Develop and validate machine learning models using Python and cloud-based ML platforms (BQ ML, ModelGarden, Amazon Bedrock).
- Business Recommendations : Translate model insights into actionable business recommendations.
- Collaboration : Work with analytics and activation teams to implement model outputs.
- Stakeholder Communication : 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 : 5-7 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
Functional Areas: Other
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5-7 Yrs