Description

You will apply machine learning techniques and algorithms to solve complex data problems.

This role is hybrid.

Responsibilities

• Implement machine learning algorithms and techniques to drive data-driven solutions.
• Develop and maintain data processing workflows using Python and PySpark.
• Analyze datasets using statistical methods to extract actionable insights.
• Collaborate on the design and deployment of predictive models.

Required Skills

• 5+ years of professional experience in technical roles.
• Minimum of 2 years of experience specifically in a data science role.
• Proficiency in Python and R.
• Expertise in Python libraries including Pandas, NumPy, and Scikit-learn.
• Experience with PySpark for large-scale data processing.
• Strong understanding of machine learning algorithms and mathematical modeling.
• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.

Key Skills

Education

Any Graduate