Negotiable
Undetermined
Remote
Remote
Summary: The Senior Data Scientist role at Integration Architects focuses on transforming enterprise data into actionable models and insights that inform business decisions. This position requires a strong background in data science and machine learning, with responsibilities including model deployment and statistical analysis. The role is remote and offers a contract type of C2C or W2. Candidates should have extensive experience in data science and a solid understanding of statistical methods.
Key Responsibilities:
- Frame business problems as data science problems and design the approach
- Build, validate, and deploy ML models into production
- Run statistical analysis and experimentation (A/B, causal)
- Collaborate with data engineering to productionize features and pipelines
- Communicate findings clearly to non-technical stakeholders
Key Skills:
- 12+ years in data science / applied ML
- Strong Python (pandas, scikit-learn) and SQL
- Production ML deployment experience, not just notebooks
- Solid grounding in statistics and experimental design
- Cloud ML tooling (SageMaker, Azure ML, Vertex, or similar)
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: Remote (U.S.) | Type: Contract (C2C or W2)
Integration Architects seeks a Senior Data Scientist to turn enterprise data into models and insight that drive real business decisions.
What you''''''''ll do
- Frame business problems as data science problems and design the approach
- Build, validate, and deploy ML models into production
- Run statistical analysis and experimentation (A/B, causal)
- Collaborate with data engineering to productionize features and pipelines
- Communicate findings clearly to non-technical stakeholders
What you bring
- 12+ years in data science / applied ML
- Strong Python (pandas, scikit-learn) and SQL
- Production ML deployment experience, not just notebooks
- Solid grounding in statistics and experimental design
- Cloud ML tooling (SageMaker, Azure ML, Vertex, or similar)