onsite
Data Scientist - Extensions - Jobgether
Data Scientist
Data Scientist specializing in Extensions, building and optimizing large‑scale tabular AI models for enterprise decision‑making, leveraging Python, machine learning, deep learning, and cloud platforms.
About the role
Key Responsibilities
- Design, develop, and fine‑tune high‑performance tabular machine‑learning models for diverse industry use cases.
- Engineer data pipelines to ingest, clean, and transform complex structured datasets at scale.
- Collaborate with product and engineering teams to integrate predictive models into enterprise AI extensions.
- Conduct rigorous experiments, A/B testing, and model validation to ensure robust predictive performance.
- Monitor deployed models, diagnose drift, and implement continuous improvement strategies.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow).
- Hands‑on experience building and deploying large‑scale tabular models, including feature engineering and hyperparameter optimization.
- Solid understanding of statistical modeling, hypothesis testing, and evaluation metrics for structured data.
- Experience with cloud platforms (AWS, GCP, or Azure) for model training, serving, and data pipeline orchestration.
- Proficiency in SQL for data extraction, manipulation, and analysis.
Skills
pythonmachine learningdeep learningsqlaws