Hire a
Data Scientist
The model needs to predict tomorrow. The scientist needs to survive today’s data. We’ve got the ones who do both.
What a Data Scientist
Can Help You With
Build Models That Don’t
Just Memorize the Training Data
A good data scientist doesn’t just tweak hyperparameters; they build resilient, interpretable models that generalize, even when your users stop behaving predictably.
Wrangle Dirty
Data Without Rage-Quitting
Nulls, typos, nested JSONs, non-normal distributions, these aren’t blockers, they’re Tuesday. Good scientists know how to clean, standardize, and still trust the result.
Explain Predictions
Without Needing a TED Talk
They speak product, engineering, and exec fluently. From Shapley values to lift scores, they turn complexity into clarity and tell you if your ML project is worth doing.
We Have a Data Scientist
for Hire In Your Industry
Tech & SaaS
Recommendation systems, predictive churn, dynamic pricing, user clustering, feature scoring, all built to scale and retrain without setting fire to prod.
eCommerce
From purchase prediction to return likelihood, build models that improve UX and margins. Real-time scoring that doesn’t stall your checkout flow.
Healthcare
Risk stratification, outcome prediction, and population modeling done with regulatory compliance in mind. Clean math meets real-world constraints.
Finance & Banking
Fraud detection, credit modeling, and time-series forecasting backed by explainable AI and tight governance. No black-box gambling here.
Roles & Experience Levels
Junior Data Scientist
Knows the math, writes the code, and can follow established pipelines. Great at experimentation and prototyping.
1-2 years of experience
Mid-level Data Scientist
Owns models, improves feature engineering, debugs data drift, and collaborates with product and data engineering.
3-5 years of experience
Senior Data Scientist
Designs systems, mentors others, productionizes ML workflows, and prevents the team from deploying a neural net when a linear regression would do.
5+ years of experience
Data Scientist Lead / Manager
Defines data strategy, aligns with product and engineering, and keeps the team focused on models that matter, not just what’s sexy at conferences.
7+ years of experience
Why Hire a Data Scientist with CompuForce?
We show you GitHub repos, model output, and real case studies, not just basic resumes.
Most roles filled in 3–5 days. No long waits. No endless interview chains.
Freelancers, full-timers, or someone in between. We’ve got the right setup for your needs.
Frequently Asked Questions
Can they work with real, messy, inconsistent data?
Yes. Our data scientists are used to imperfect inputs. They’ll clean, impute, and validate without making your pipeline collapse.
Do they code, or are they more theoretical?
They code. Python, SQL, Pandas, Scikit-learn, PyTorch, TensorFlow, etc. Many also use Airflow, MLflow, dbt, and work in versioned environments.
Do they work with product and engineering?
Yes. They know how to scope a model, communicate tradeoffs, and ship things that don’t die in dev handoff.
Can they help us figure out what data project is even worth doing?
Definitely. Some of our best matches are scientists who start with, “You don’t need a model, you need to fix your tracking.”
What if they aren't the right fit?
We’ll work quickly to find a replacement or adjust the talent profile until we get the right match at no extra cost.
Ready to Hire a Data Scientist?
You’ve got data. You’ve got questions. What you don’t have is a patient genius who loves math and hates misleading charts. We’ve got a few.
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