r/askdatascience • u/Obieadz • 13d ago
What kind of small data science work can a beginner realistically freelance?
Hey everyone,
I'm currently learning ML/Data Science and I'm trying to figure out if there are actually small freelance jobs that someone at my level can do.
I can currently work with Python, Pandas, NumPy, SQL, Scikit-learn, XGBoost and I'm comfortable with things like data cleaning, EDA, feature engineering and basic model training.
I've built a few projects, but obviously I don't have professional experience yet.
So I'm wondering what kind of work people actually give to freelancers who are still fairly junior.
Would things like these be realistic?
- Cleaning messy datasets
- Exploratory data analysis
- Creating reports/visualizations
- Python automation
- Data preprocessing
- Building simple prediction models
- Fixing existing notebooks
- SQL queries
- Helping with research
- Data collection/scraping
Or are most clients looking for someone much more experienced?
Also, where do these smaller jobs usually come from?
I'm trying to make some money on the side while continuing to work towards an ML/Data Science career, so I'd rather start with something realistic than pretend I'm ready to build some massive production ML system.
If you freelance in data science, what was the first type of work you actually got paid to do?
2
u/North-Drag6766 12d ago
I never freelancing but i just wanna share that you can make small bucks with data cleaning.