Data Scientist
Tasks
- Automate text data classification and categorization
- Build predictive models
- Design intervention hypotheses and experiments
- Execute pattern anomaly detection on large datasets
- Extract clean transform transactional data
- Generate features
- Perform entity recognition and extraction
- Perform exploratory data analysis
- Resolve entity matching and named entity matching
- Train evaluate deploy predictive analytics models
Perks/Benefits
- Career development
- Disability insurance
- Health insurance
- Holiday pay
- Learning and development
- Life insurance
- Paid time off
- Retirement savings
- Wellness programs
Skills/Tech-stack
Bayesian Networks | Clustering | Component analysis | Data Analysis | Data Mining | Data Preprocessing | Data Visualization | Decision Trees | Entity Matching | Entity Resolution | Entity recognition | Exploratory Data Analysis | Feature Engineering | HBase | HDFS | Hadoop | Hierarchical Clustering | Hive | Java | K-Means | K-Nearest Neighbors | K-nearest | Kafka | Logistic Regression | Machine Learning | MapReduce | Named Entity Recognition | Nearest neighbors | Neural Networks | Pattern Recognition | PowerBI | Predictive Analytics | Principal Component Analysis | Python | R | Random Forests | SQL | Scala | Spark | Supervised Learning | Support Vector Machines | Tableau | Text Classification | Unsupervised Learning | Vector machines
Education
Associate Degree | Bachelor of Science | High School Diploma | Master of Science | PhD
Roles
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