D&I Data Scientist

The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.

Experience level: 3-12 years

Expertise:

• Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods).
• Practical experience in the machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.
• Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI.
• Knowledge and experience in code design, testing, and ML Ops practices.
• Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI.
• Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.
• Experience with software engineering practices, agile methodologies, DevOps, and version control.
• Experience in Data and Cloud environments along with APIs and data integration
• Experience with GenAI/LLMs