Data Scientist I
Tasks
- Apply statistical analysis
- Build predictive models
- Communicate insights with visualizations
- Define project objectives
- Develop AI/GenAI solutions
- Develop machine learning algorithms
- Formulate data-driven hypotheses
- Gather preprocess and explore structured and unstructured data
- Identify KPIs for analysis
- Perform exploratory data analysis
- Stay current with statistical and machine learning methodologies
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Clustering | Data Analysis | Experimental Design | Exploratory Data Analysis | Git | Hadoop | LLM integration | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Matplotlib | Natural Language | Natural Language Processing | NoSQL | Power BI | Predictive Modeling | Prompt engineering | PySpark | Python | R | Regression | Retrieval-Augmented Generation | SQL | Seaborn | Series forecasting | Spark | Statistical Analysis | Tableau | Time Series | Time Series Forecasting | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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