Applied Research & Data Scientist (Learning Analytics & Multimodal AI)
Tasks
- Analyze transcribed speech with NLP
- Apply dimensionality reduction and unsupervised learning
- Build regression models
- Build reproducible research pipelines
- Conduct exploratory data analysis
- Conduct statistical hypothesis testing
- Create dashboards and visualizations
- Design experiments and A/B tests
- Develop predictive engagement models
- Engineer features from handwriting and audio data
- Integrate speech and handwriting multimodal fusion
- Maintain multimodal data pipelines
- Perform causal inference
- Present insights to non-technical stakeholders
Perks/Benefits
Skills/Tech-stack
ANOVA | Causal Inference | Chi-Square | Clustering | Cross-validation | DAG | Dimensionality Reduction | ETL | Embeddings | Emotion recognition | Feature Engineering | Jupyter | LLM | Librosa | MLflow | Mediation analysis | Mixture models | Multimodal fusion | NLP | NumPy | OpenSMILE | PCA | Pandas | Permutation testing | Plotly | Prompt engineering | Propensity scoring | PyTorch | Python | Regression Analysis | Scikit-learn | Signal Processing | Speech Emotion Recognition | Speech Transcription | Speech signal processing | StatsModels | Streamlit | T-SNE | T-test | Tableau | TensorFlow | UMAP | Weights and Biases
Education
Regions
Countries
States
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