Data Scientist [Multiple Positions Available]
Tasks
- Analyze business challenges and build data driven solutions
- Build natural language processing features from unstructured data
- Create interactive dashboards and automated reporting
- Design and implement application attributes into business strategies
- Develop data pipelines and ETL processes
- Develop risk management and fraud mitigation attributes and insights
- Implement data governance and data quality monitoring
- Perform feature engineering and automated feature engineering pipelines
- Perform statistical analysis and experimental design
- Train supervised machine learning models and optimize predictions
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | ANOVA | AWS | Apache Spark | B testing | BERT | Bayesian Inference | Bivariate Statistics | Causal Inference | Chi-Square | Chi-square test | DBT | Data Modeling | Decision Trees | Difference-in-differences | Dimensionality Reduction | EMR | ETL | Embedding | Entity recognition | Excel | Feature Engineering | Feature Store | GloVe | Grid Search | Hyperparameter Optimization | Jupyter | K-Means | K-means Clustering | LDA | LIME | Language Processing | Lasso | Linear Regression | Logistic Regression | Multivariate Testing | Named Entity Recognition | Natural Language | Natural Language Processing | Normalization | PCA | Polynomial Features | PowerBI | Propensity Score Matching | Propensity score | PySpark | Python | Random Forest | Recursive Feature Elimination | Regularization | Rolling Average | S3 | SHAP | SQL | SageMaker | Score Matching | Statistical Analysis | Streaming Data | Tableau | Text Classification | Topic Modeling | Univariate statistics | Word2Vec | XGBoost
Education
Roles
Regions
Countries
States
Cities
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