What should I look for in a freelance data scientist's portfolio?
Look for projects that match your needs. Check if they have worked on similar data analysis or machine learning projects. Focus on their ability to solve problems with data and if they have used tools like Python or R.
How can I determine if a freelance data scientist has the right skills?
Review their past work and client reviews. See if they have experience with your industry. Make sure they know how to use data science tools and techniques you need.
What should I include in my project brief for a data scientist?
List your goals and what you want to achieve with data. Mention the type of data you have and any specific methods or tools you want to use. Clear instructions help the freelancer understand your needs.
How do I set expectations with my freelance data scientist?
Talk about timelines and deadlines clearly. Agree on how often you will check in on progress. Decide on what a successful project looks like for both of you.
What deliverables should I expect from a freelance data scientist?
You might want reports, data visualizations, or model predictions. Describe what you expect them to deliver at the end. Be clear about the format you need these in.
How should I communicate my data privacy needs?
Tell them what data is private and how it should be handled. Discuss any privacy laws or rules your project has to follow. Make it clear if any data can't be shared externally.
How do I decide on project milestones for a data science project?
Break the project into smaller sections. Decide on important tasks and when they should be completed. Clearly define how you will know each milestone is reached.
What should I know about onboarding a freelance data scientist?
Provide them with access to the data they need. Share any tools or platforms your team uses. Make sure they know who to ask if they have questions.
How do I evaluate a freelance data scientist's problem-solving skills?
Ask about past projects where they solved tough problems. Look at how they approached these challenges. Their ability to think critically with data is important.
What is the best way to handle scope changes in a data science project?
Discuss any needed changes as soon as possible. Agree on how these changes affect the project timeline and deliverables. Keeping communication open helps manage adjustments smoothly.
Who is Contra for?
Contra is designed for both freelancers (referred to as "independents") and clients. Freelancers can showcase their work, connect with clients, and manage projects commission-free. Clients can discover and hire top freelance talent for their projects.
What is the vision of Contra?
Contra aims to revolutionize the world of work by providing an all-in-one platform that empowers freelancers and clients to connect and collaborate seamlessly, eliminating traditional barriers and commission fees.
