Data Architect

📋 Description

• Design, develop, deploy predictive and prescriptive models across domains.
• Apply ML, deep learning, and statistics to real business problems.
• Drive experimentation and causal inference to validate hypotheses.
• Analyze large datasets and translate insights into strategic recommendations.
• Communicate findings clearly to technical and non-technical audiences.
• Collaborate with product managers and stakeholders to frame data solutions.

🎯 Requirements

• 7+ years in data science, statistics, and ML.
• Python or R with scikit-learn, TensorFlow/PyTorch.
• Build/deploy Data Mesh architectures.
• Strong AWS experience; GCP/Azure a plus; Palantir a plus.
• Deploy models in production via APIs, pipelines, ML frameworks.
• Experience with stats, time series, NLP, optimization; A/B testing.