About the Company
At Sourcing Trust, we are committed to delivering innovative, reliable, and tailored technology solutions that empower businesses to succeed in a rapidly evolving digital landscape. With a focus on excellence, integrity, and collaboration, we build lasting partnerships by understanding our clients' unique needs and providing them with expert support across. Our team is dedicated to fostering a positive and inclusive work environment where every employee's contribution is valued, encouraging continuous growth, learning, and shared success. Join us and be part of a passionate organization driven by innovation and excellence.
About the Role
We are looking for a Senior Data Scientist with advanced Python expertise for ML/DL and proven success architecting production-scale ML/DL models. The role demands deep statistical foundations, mastery of MLOps workflows, experience with big-data platforms and cloud ML services, and exceptional ability to mentor teams while translating complex technical insights for executive audiences.
Requirements
Requirements
Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
Strong background in statistics, experimental design, and causal inference.
Proven ability to develop and scale complex ML/DL models for production environments.
Proficiency in ML experimentation tools (MLflow, W&B, Databricks ML).
Advanced SQL expertise for large-scale data manipulation and workloads.
Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).
Experience with big-data platforms (Spark, Databricks) for optimized model training/scoring.
Solid knowledge of cloud ML platforms (Azure ML, SageMaker, Vertex AI).
Advanced data visualization and storytelling for executive audiences.
Soft Skills
Ability to evaluate trade-offs and articulate sound technical choices.
Effectively translate complex concepts to non-technical audiences.
Exceptional mentoring skills to uplift mid/junior engineers and enforce standards.
Strong aptitude for breaking down ambiguous challenges into actionable solutions.
Ownership-minded approach anticipating issues and driving platform evolution.
Skilled at establishing teams upholding best practices and technical excellence.
Experience
Degree in Mathematics, Computer Science, Machine Learning, or related field.
Minimum 5 years professional experience building and architecting production-level data solutions.
Language Requirements
English proficiency minimum B2 (mandatory).
Portuguese fluency (mandatory).