Data Scientist
Bengaluru, Karnātaka, India
INR 2568K-3500K (estimate) Mid-level Full Time
Tasks
- Analyze trends and patterns
- Apply propensity score matching
- Build statistical measurement dashboards
- Build survival hazard models
- Collaborate with cross-functional teams
- Conduct anomaly detection
- Consult and provide analytics to leadership
- Create Power BI dashboards
- Create monitoring frameworks
- Define success metrics
- Design scalable data models and canonical schemas
- Develop data collection systems
- Interpret data
- Model customer lifetime value
- Perform clustering and segmentation
- Run experiments with test control groups
- Support mentor and train junior data scientists
Perks/Benefits
- Career Development Programs
- Flexible work arrangement
- Health and wellbeing benefits
- Inclusion and diversity programs
Skills/Tech-stack
Anomaly Detection | Bias Variance | Bias-Variance Tradeoff | Clustering | Conversational AI | Customer Lifetime Value | Customer lifetime value modeling | Data Analysis | Data Mining | Data Modeling | Data Warehousing | Databricks | Delta Lake | Dimensionality Reduction | Double ML | ETL | Exploratory Data Analysis | Generative AI | Hazard models | Higher Order Markov Chain | Lifetime value modeling | Machine Learning | Markov Chain | Markov Chains | Model calibration | Multi turn evaluation | Omnichannel analytics | Power BI | Power analysis | Propensity Score Matching | Propensity score | Python | RAG | Regression | Score Matching | Snowflake | Statistical Analysis | Survival analysis | Value modeling | Voice of Customer
Education
Roles
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