Description

You will build predictive models and manage ML pipelines to optimize ecommerce strategies and market share estimates, splitting time between data science (80%) and MLOps (20%).

This role is on-site.

Responsibilities

• Collaborate with the senior data science team to model customer trends and improve market share estimates.
• Own feature selection, model fine-tuning, and regression analyses.
• Maintain and improve existing models by researching new data sources and refining algorithms.
• Build data pipelines to ensure efficient model deployment.

Required Skills

• 3-5 years of experience building Machine Learning solutions.
• Proficiency in Python for data modeling, cleaning, and visualization.
• Experience with SQL for querying databases and managing data workflows.
• Strong understanding of machine learning techniques and model evaluation metrics.
• Ability to analyze complex data and solve technical problems.
• Experience working with databases and data science workflows.
• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.

Preferred Skills

• Master's degree in a related technical field.
• Experience with MLOps practices and model deployment pipelines.

Key Skills

Education

Bachelor's