We’re working with a digital client looking to bring on an experienced
Data Scientist
to support applied analytics and ML initiatives across an established cloud data platform.
You’ll join an existing delivery team as a senior individual contributor, working hands on across modeling, experimentation, and production deployment, with visibility across multiple business domains.
This suits someone practical and commercially minded, comfortable taking models from idea through to production.
Six month initial contract with strong likelihood of rolling extensions.
Competitive hourly rates depending on experience, 40 hrs/week.
Engagement via W2 or personal LLC only.
No third parties.
Fully remote, aligned to EST.
What you’ll be doing
Building predictive and statistical models for real business use cases
Working with large structured and semi structured datasets
Partnering with data engineering to productionize models
Designing experiments and validating model performance
Translating business problems into analytical solutions
Supporting model monitoring and continuous improvement
What we’re looking for
Strong experience as a Data Scientist in production environments
Solid Python and SQL
Experience with ML frameworks (scikit-learn, XGBoost, PyTorch, etc.)
Strong statistics and modeling fundamentals
Comfortable working with messy, real-world data
Experience in agile, delivery-focused teams
Nice to have
Cloud experience (AWS / Azure / GCP)
Feature engineering and model deployment exposure
Experience supporting product or growth teams
Basic MLOps familiarity
Why this role
Applied data science, not research
Real business impact
Flexible engagement model, extensions likely
Opportunity to work with experienced data teams