Use Python, statistical analysis, and machine learning as a Remote Junior Data Scientist working entirely remotely with complex datasets.
This junior role suits a recent graduate with a quantitative background and curiosity about data applications. You will support data modeling, statistical analysis, machine learning development, and visualization. Solid programming and communication skills are central to the work.
Key Responsibilities:
- Collect, clean, and preprocess datasets from various sources
- Perform exploratory analysis to identify patterns and anomalies
- Develop statistical models and machine learning algorithms
- Evaluate and optimize model performance
- Document methodologies, code, and results clearly
Requirements:
- Bachelor’s or Master’s degree in a quantitative field
- Strong Python or R programming skills
- Understanding of statistics and machine learning algorithms
- Familiarity with SQL and database management
- Ability to work independently and manage projects
Apply data modeling, Python or R, and analytical thinking while developing machine learning capabilities remotely.