Question 1

What skills should I look for when hiring a freelance data scientist on Contra?

Accepted Answer

Look for data scientists who are experienced in working with different data tools and programming languages. They should be good at analyzing data and making predictions based on it. Additionally, it's essential they can turn data into clear, important insights.

Question 2

How do I set the scope of a data science project on Contra?

Accepted Answer

Explain your business goals and what you want to achieve with your data. Agree on what tasks the data scientist will do and what the final results should look like. Making everything clear at the start helps keep the project on track.

Question 3

How can I ensure clear communication with a freelance data scientist?

Accepted Answer

Decide how you will talk, whether by email, chat, or video calls. Set regular times to check in and talk about the project's progress. Clear and frequent communication makes the project run smoothly.

Question 4

What should the timeline look like for a freelance data science project?

Accepted Answer

Discuss how long each part of the project will take and set deadlines. Make sure there is enough time for the data scientist to do their best work. A clear timeline helps everyone know what to expect.

Question 5

How do I agree on deliverables with a freelance data scientist?

Accepted Answer

List everything you expect the data scientist to deliver at the end of the project. You could include reports, data analysis, or predictions. Writing down what you both agreed on helps avoid confusion later.

Question 6

What are best practices for starting a project with a freelance data scientist?

Accepted Answer

Share all the information and data the data scientist will need. Make sure they understand your business and the problem you want to solve. Starting with a strong understanding ensures better results.

Question 7

How do I know if the project is successful?

Accepted Answer

Decide how you will measure success at the beginning of the project. It could be accurate predictions, a specific report, or insights that help your business. Then, check the results against these measures.

Question 8

What tools should a freelance data scientist use during the project?

Accepted Answer

Discuss which data tools and software the data scientist prefers and if they match your needs. Common tools might include Python, R, or SQL. Using the right tools helps the project succeed.

Question 9

How do I evaluate the experience of a freelance data scientist?

Accepted Answer

Look at their past work and any feedback from other clients. Check if they have worked on similar projects before. A data scientist with relevant experience is more likely to meet your project's needs.

Best Portuguese-speaking freelance Data Scientists to hire in 2025

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