Job Description
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.