Data Scientist
- Full-time
- Mid level
- Remote (worldwide)
Remote Data Scientist at MacroCoderz: analyse client data, build predictive models and measure how well AI systems perform for real users.
Role at a glance
| Employment type | Full-time |
|---|---|
| Level | Mid level |
| Experience | 2+ years |
| Location | Remote (worldwide) |
| Team | Data and machine learning |
| Education | Degree in statistics, mathematics, computer science or a related field |
| Posted | 10 October 2026 |
About the role
Before an AI project starts, someone has to answer whether the data supports it. After it ships, someone has to show whether it worked. As a Data Scientist you do both: exploratory analysis and modelling up front, and measurement of AI system performance after launch.
You work with real client data - support tickets, documents, transactions, usage logs - and turn it into decisions.
What you will do
- Explore and assess client datasets before AI projects are scoped.
- Build predictive and classification models where they beat an LLM approach.
- Design metrics and experiments to measure AI system impact.
- Analyse usage and conversation data to find improvement opportunities.
- Present findings clearly to technical and non-technical audiences.
What we are looking for
- 2+ years in data science or analytics with real-world data.
- Strong Python with pandas and scikit-learn, and strong SQL.
- Solid statistics: experiment design, significance, bias.
- Can explain a result to someone who is not a data scientist.
Nice to have
- NLP or text analytics experience.
- Has worked with LLM outputs as data.
- Dashboards in Metabase, Looker or similar.
Skills and tools
- Python
- pandas
- scikit-learn
- SQL
- Statistics
- NLP
- Data visualisation
Who this role suits
Data scientists and analysts who want to work on AI projects, and statistics or maths graduates with practical data experience.
The work behind this role
Data Scientist: common questions
Yes. The Data Scientist role at MacroCoderz is fully remote and open to applicants worldwide. It is a full-time, mid level position.
2+ years (mid level). Education: Degree in statistics, mathematics, computer science or a related field. Who it suits: Data scientists and analysts who want to work on AI projects, and statistics or maths graduates with practical data experience.
At MacroCoderz a Data Scientist checks whether a client's data can support an AI project before it is scoped, builds predictive models where they beat a large language model, and measures how well AI systems perform after launch using usage and quality data.
Use the application form on this page. It asks for your contact details, city, LinkedIn profile, expected salary, how you heard about the role, a short description of two or three projects you have worked on, and your CV as a PDF or Word file. An engineer reviews every application and emails shortlisted applicants to arrange a call.