Senior Data Scientist
1 week ago
Shortlist and identify data sources for segmentation and profiling such as from internal sources - transaction data, customer master data (demographic data), product data, product master data and external sources - Credit data
- Establish criteria to select customers whose data needs to be pulled for analysis.
- Explore data and identify data quality gaps, trends, data variance and cleanse & transform the data.
- Develop unsupervised learning models for customer segmentation from behavioral data and tune for optimum clusters.
- Discover customer profiles from demographic customer data
- Communicate the data exploration and model results to business analyst and gather the feedback.
- Provide inputs for Dashboard Design
- Coordinate in dashboard testing
- Perform documentation of the developed solution
**Requirements**:
- Strong problem solving skills.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Excellent written and verbal communication skills for coordinating across teams.
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