As a Data Scientist Engineer, you will work closely with colleagues in development, product engineering, and solution delivery to design and deploy high-quality machine learning models and data pipelines. You will also contribute to setting best practices in data science, engineering methodologies, and model lifecycle management.

Responsibilities:

• Design, develop, and deploy machine learning models and data pipelines.
• Perform data analysis to uncover trends and patterns, translating them into strategic insights.
• Work collaboratively with business stakeholders and technical teams to gather requirements and translate them into analytical solutions.
• Develop new algorithms and improve existing ones to solve real-world problems.
• Implement best practices for data preprocessing, model validation, and performance monitoring.
• Stay up-to-date with emerging technologies and methodologies in data science and AI/ML.

Requirements

• Proven experience in Data Science, Machine Learning, or Data Engineering roles.
• Strong programming skills, ideally in Python.
• Solid understanding of data querying and transformation using tools like SQL, Pandas, or NumPy.
• Experience working independently and collaborating across global or cross-functional teams.
• Familiarity with version control, deployment tools, and agile workflows.