AI, ML and data
AI and Data Science Staffing: Engineers, Scientists and Analysts
CasperB2B AI and data science staffing places data engineers, data scientists, machine learning engineers, and analysts in your business on contract, project, or permanent terms. It is for companies that have data work to do and need people who can show they have done it before.
Roles we staff
Data engineers
Build and maintain pipelines, warehouses, and the data models your reports and products depend on.
Data scientists
Frame business questions, build models, run experiments, and explain results in plain language.
ML engineers
Take models into production: training pipelines, deployment, monitoring, and integration with your apps.
Analysts
Turn raw data into dashboards, reports, and recommendations your managers can act on.
How we screen
Data roles are easy to oversell on a resume. Our screening focuses on proof of work.
- Role intake. We learn your data sources, tools, and the first questions or systems the person will own.
- Recruiter screen. We check experience, communication, and whether past projects match your needs.
- Technical assessment. A role-specific exercise: a SQL and data modeling task for data engineers and analysts, a problem framing and modeling exercise for data scientists, or a deployment and monitoring discussion for ML engineers.
- Project walk-through. Candidates explain a past project: the data, the decisions they made, and what they would do differently.
- Shortlist. You get a short list with our notes on strengths and gaps.
How it fits with your team
A data hire works best when someone on your side owns the questions. We help you write that into the role profile. If you need data infrastructure first, look at our cloud engineer staffing. If you want reporting set up as a service instead of a hire, see marketing analytics services. For AI work you would rather hand off, see AI automation or AI services.
When it is the wrong fit
If your data is scattered across spreadsheets with no plan, a data scientist will spend months cleaning instead of modeling. Start with a data engineer or an analyst. If you want to try AI on a single workflow, a delivered project is usually faster than a hire.
Frequently asked questions
What roles does AI and data science staffing cover?
Data engineers, data scientists, machine learning engineers, and data analysts, on contract, project, or permanent terms.
How do you test data candidates?
With a role-specific exercise and a walk-through of a past project, after a recruiter screen.
Should I hire a data scientist or a data engineer first?
Usually a data engineer or analyst first, if your data is not yet clean and in one place. Models need reliable data.
Can I hire for a single project?
Yes. Use project staffing for a defined data project with an end date.
Tell us about your data and the work ahead on a 15-minute fit call.
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Book a 15-minute fit call
Tell us what's leaking time or revenue. You get a personal reply within 1 business day.
- Founder-led. Built by Jared Casper (Founder) and Mark Casper (Co-Founder).
- A person answers. Every request gets a personal reply within 1 business day. Call or text 1-207-222-7737.
- Done for you. We build, set up and run the system — see exactly what we do.
