Data Scientist
INR 2568K-3500K (estimate) Mid-level Full Time
Tasks
- Build surveys using sampling strategies and power analysis
- Conduct risk assessment and decision support analysis
- Create Power BI dashboards and data visualizations
- Create long term monitoring frameworks to measure feature adoption and performance drift
- Define success metrics for model quality and business outcomes
- Design and build scalable data models and canonical schemas
- Develop and implement data collection systems and analytics strategies
- Identify analyze and interpret trends and patterns in complex data sets
- Interpret data and analyze results using statistical techniques
- Perform customer journey clustering segmentation and anomaly detection
- Prioritize business and information needs and analyze data to form conclusions
- Provide consulting to leadership and mentor junior data scientists
- Set up experiments using test control groups and propensity score matching
Perks/Benefits
- Career Development Programs
- Flexible work arrangements
- Health and wellbeing benefits
- Hybrid work schedule
- Inclusion programs
Skills/Tech-stack
Anomaly Detection | Bias Variance | Bias-Variance Tradeoff | Canonical Data | Canonical Data Models | Clustering | Customer Journey | Customer Journey Analytics | Customer Lifetime Value | Data Analysis | Data Mining | Data Modeling | Data Visualization | Data models | Databricks | Delta Lake | Dimensionality Reduction | DoubleML | ETL | ETL Pipelines | Exploratory Data Analysis | Generative AI | Hazard Function | Higher Order Markov Chain | Journey Analytics | Lifetime Value | Machine Learning | Markov Chain | Markov Models | Model Tuning | Model calibration | Multi turn evaluation | Omnichannel analytics | Power BI | Power analysis | Propensity Score Matching | Propensity score | Python | RAG | Regression | Score Matching | Segmentation | Significance Testing | Snowflake | Statistical significance | Statistical significance testing | Survey sampling | Survival models
Education
Roles
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