2522 Data Scientist (Advanced)

SUMMARY:
ESSENTIAL SKILLS:

• Proficiency in Python for data science and production code development.
• Strong experience with classical machine learning algorithms and applied AI techniques.
• Practical experience building and training deep learning models using TensorFlow.
• Familiarity with MLOps practices for deploying and managing models in production.
• Experience with data engineering tasks: ETL, preprocessing, feature engineering and visualization.
• Strong analytical and problem-solving capabilities with attention to performance, efficiency and scalability.
• Experience engaging with stakeholders and translating business needs into technical solutions.

• Hands-on experience with cloud platforms such as AWS and Azure.
• Experience with ML frameworks beyond TensorFlow (e.g., PyTorch, Keras, scikit-learn)

POSITION INFO:
ROLE & RESPONSIBILITIES:

• Research, design and implement deep learning and machine learning models to meet business needs.
• Understand stakeholder requirements and translate them into ML solutions.
• Write Python code and contribute to reusable machine learning pipelines.
• Work closely with international teams of data scientists, ML and software engineers to deliver solutions.
• Provide support for low-code/no-code solutions to enable business users where applicable.
• Stay up to date with advances in data science and implement best practices across projects.

• Minimum Masters Degree in Data Science, Computer Science, Statistics, Engineering or a related field with strong mathematical foundations.
• 3–5 years of hands-on experience in data science, machine learning and applied AI.