Data Scientist
Bengaluru, Karnātaka, India
R
INR 2568K-3500K (estimate) Mid-level Full Time
Tasks
- Analyze results using statistical techniques
- Apply propensity score matching and calibration to correct bias
- Build data collection systems
- Build data solutions for business decisions
- Conduct machine learning and data mining experiments
- Create Power BI dashboards and data visualizations
- Create and run surveys with sampling strategies and power analysis
- Create long term monitoring frameworks
- Define success metrics for model quality user engagement and business outcomes
- Design experiments with test control groups
- Design scalable data models and canonical schemas
- Develop analytics and strategies
- Discover customer journey patterns using clustering segmentation anomaly detection
- Facilitate risk assessment and decision making with analysis
- Identify analyze and interpret trends in complex datasets
- Interpret data
- Measure feature adoption performance drift and business impact
- Prioritize business and information needs
- Provide consulting and analytics to leadership
- Support mentor and train junior data scientists
Perks/Benefits
- Career Development Programs
- Flexible work schedule
- Health and wellbeing benefits
- Inclusive workplace
Skills/Tech-stack
Anomaly Detection | Bias Variance | Bias-Variance Tradeoff | Clustering | Customer Lifetime Value | Customer lifetime value modeling | Data Analysis | Data Mining | Data Visualization | Databricks | Delta Lake | Delta Tables | Dimensionality Reduction | ETL | Exploratory Data Analysis | Generative AI | Hazard models | Lifetime value modeling | Machine Learning | Markov Chain | Markov-Chain Models | Model calibration | Multi turn evaluation | Omnichannel analytics | Power BI | Power analysis | Propensity Score Matching | Propensity score | Python | RAG | Regression | Sampling strategies | Score Matching | Segmentation | Significance Testing | Snowflake | Statistical Analysis | Survey design | Survival analysis | Value modeling
Education
Roles
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