Machine Learning Engineer - Customer Segmentation

What role you will play in team: You'll be part of a team focused on improving customer experience by leveraging machine learning to segment customers based on their behaviour and preferences. You will build and maintain machine learning models to optimize marketing campaigns.

What you will do: You'll develop and implement machine learning models to segment customers into distinct groups based on their behavior, preferences and demographics. You'll analyze the results and provide recommendations for targeted marketing strategies.

Key responsibility:

• Develop and deploy machine learning models for customer segmentation using various techniques (e.g., clustering, classification).
• Analyze large customer datasets to identify patterns and insights.
• Collaborate with marketing teams to develop targeted marketing campaigns based on customer segments.
• Monitor model performance and make necessary adjustments to maintain accuracy and effectiveness.
• Stay up-to-date on the latest advancements in machine learning and customer segmentation techniques.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• Proficiency in Python or R with experience using machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation, cleaning, and visualization tools.
• Understanding of various machine learning algorithms, including clustering and classification.
• Excellent communication and collaboration skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Mentorship program for career advancement.
• A collaborative and innovative work environment.

A Day in the Life: A typical day involves building, testing and deploying machine learning models, collaborating with marketing teams, analyzing results, and improving customer segmentation strategies for increased marketing efficiency.