Description

Apply machine learning techniques to solve complex data problems and drive actionable insights.

This role is on-site.

Responsibilities

• Develop and validate machine learning models for production use.
• Write and optimize data processing pipelines using big data tools.
• Analyze complex datasets to derive actionable business insights.
• Communicate analytical findings clearly to technical and non-technical stakeholders.

Required Skills

• 5+ years in Data Science or Machine Engineering.
• Expertise in Python and R.
• Proficiency in SQL for data extraction and manipulation.
• Experience with Spark and PySpark for distributed computing.
• Hands-on experience with ML libraries like scikit-learn.
• Strong data visualization and communication skills.
• Bachelor's degree in a quantitative field.

Preferred Skills

• Experience building fraud detection models.

Key Skills

Education

Bachelor's degree