Data Scientist (Advanced) 2522

• 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 skills with a focus on performance, efficiency, and scalability.
• Experience engaging with stakeholders and translating business needs into technical solutions.

• Research, design, and implement deep learning and machine learning models to address business needs.
• Translate stakeholder requirements into effective ML solutions.
• Write production-level Python code and contribute to reusable machine learning pipelines.
• Collaborate with international teams of data scientists, ML engineers, and software engineers.
• Support low-code/no-code solutions for business users where applicable.
• Stay current with advances in data science and implement best practices across projects.

Qualifications:

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