Data Science Expert
Tasks
- Analyze errors and bias
- Build machine learning models
- Communicate insights to stakeholders
- Conduct causal analysis
- Create dashboards and visualizations
- Create forecasting models
- Define success metrics
- Detect anomalies
- Develop NLP and LLM assisted analytics
- Develop statistical models
- Ensure data quality and governance
- Frame analytical questions
- Identify business problems
- Perform clustering and segmentation
- Quantify business impact
- Run A/B testing
- Validate model performance
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Apache Spark | B testing | BI tools | Bias detection | Causal Inference | Classification | Clustering | Dashboards | Data Governance | Data Lineage | Data Quality | Data Visualization | Data Warehousing | Databricks | Embeddings | Error Analysis | Experiment design | Feature Engineering | Feature Selection | Forecasting | Generative AI | Hypothesis Testing | Language Models | Large Language Models | Machine Learning | Model Validation | NLP | Probability | Prompt engineering | Propensity Modeling | Python | Recommendation Systems | Regression | SQL | Semantic Search | Statistics | Text Classification
Education
N/A
Regions
Countries
States
Cities
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