Data Scientist
Tasks
- Apply advanced analytics and statistical methods
- Build visualizations and metrics for decision making
- Collaborate in Agile Scrum to iterate solutions
- Communicate insights to technical and non-technical stakeholders
- Conduct data discovery and exploratory data analysis
- Create dashboards and interactive workflows
- Design and build analytic applications in Palantir Foundry
- Embed AI ML capabilities into analytic workflows
- Perform data cleansing normalization aggregation and modeling
- Translate requirements into scalable products
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Clustering | Data Visualization | Databricks | ETL | GraphRAG | Hypothesis Testing | LLMs | Matplotlib | NLP | NLTK | Palantir Foundry | Pandas | Plotly | Polars | PowerBI | Prophet | PySpark | Python | Qlik | RAG | Regression | Scikit-learn | Seaborn | Spacy | StatsModels | Streamlit | Tableau | TypeScript
Education
N/A
Roles
Application Developer | Data Scientist | Developer | Scientist
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