Lead Data Scientist
Tasks
- Analyze model failure states
- Collect analyze and interpret datasets
- Conduct exploratory data analysis
- Contribute to self led technical development
- Create model documentation
- Design train and deploy NLP models
- Design train and deploy transformer models
- Develop machine learning models
- Guide clients on model development processes
- Guide fine tuning and analytics development
- Improve model transparency
- Interface with cross-functional teams
- Mentor junior team members on model development and EDA
- Optimize machine learning workflows
- Perform data annotation and quality review
- Support model governance documentation and explainability
- Translate product requirements into technical tasks
Perks/Benefits
Skills/Tech-stack
ANOVA | BERT | Bayesian Methods | Chi-Square | Chi-square tests | Clustering | Continuous Delivery | Data Analysis | Data Annotation | Data Quality | Data Quality Review | Data Structures | Deep learning | Docker | Exploratory Data Analysis | H2O | Helm | Hugging Face | Hypothesis Testing | Keras | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Learning Governance | Machine Learning | Machine Learning Governance | Microservices | Model Explainability | NLTK | NVIDIA Nemo | Natural Language | Natural Language Processing | NumPy | Object-Oriented | Object-oriented programming | Ollama | Pandas | PyTorch | Quality review | Regression | Scikit-learn | Sentence Transformers | Series analysis | Spacy | TensorFlow | Tidyverse | Time Series | Time Series Analysis | Transformer | Word Embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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