Lead Data Scientist
Tasks
- Analyze large datasets
- Build artificial intelligence models
- Collaborate with data engineers on data pipelines
- Conduct hypothesis testing
- Contribute to open-source projects
- Create analytical reports
- Create data visualizations
- Develop deep learning models
- Develop natural language processing models
- Develop predictive models
- Develop reinforcement learning models
- Engineer features
- Handle missing values
- Implement machine learning algorithms
- Perform exploratory data analysis
- Preprocess and transform data
- Present insights to stakeholders
- Research new algorithms
- Train supervised learning models
- Train unsupervised learning models
Perks/Benefits
- Gift vouchers
- Hybrid working
- Learning platform access
- Private medical services
- Vacation days
- WFH Flexible Working Hours
Skills/Tech-stack
Artificial Intelligence | Data Analysis | Data Modeling | Data Normalization | Data Pipelines | Data Preprocessing | Data Visualization | Deep learning | Dimensionality Reduction | Exploratory Data Analysis | Feature Engineering | Hypothesis Testing | Language Processing | Machine Learning | Missing Value Imputation | Natural Language | Natural Language Processing | Predictive Modeling | Python | R | Reinforcement Learning | Relational modeling | SAS | SQL | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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