Data Analyst FP&A
Tasks
- Build data science pipelines
- Build machine learning APIs and AI services
- Build predictive models
- Design data modeling processes
- Develop econometric study designs
- Develop generative AI solutions
- Evaluate model performance and tune models
- Generate statistical reports
- Identify process improvement opportunities
- Perform quantitative research
- Prompt engineering
- Research best practices and competitive intelligence
- Train and evaluate machine learning models
Perks/Benefits
- Continuing education
- Ongoing learning
- Skill development
- Student loan repayment assistance
- Work-life balance
Skills/Tech-stack
AI Agents | Accuracy | Azure Machine Learning | Causal Inference | Classification | Clustering | Data Analysis | Data Mining | Data Visualization | Econometrics | Exploratory Data Analysis | F1-score | Feature Engineering | Forecasting | Generative AI | Hypothesis Testing | Jupyter Notebook | Language Models | Large Language Models | Machine Learning | Microsoft Fabric | Model Tuning | Power BI | Precision Recall F1 | Precision-recall | Precisión | Prompt engineering | PySpark | PyTorch | Python | Qlik Sense | R | REST APIs | RStudio | Recall | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Tableau | TensorFlow | Time Series
Education
Roles
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