Description

Build and own end-to-end data science solutions for data products.

This role is on-site.

Responsibilities

• Develop machine learning and statistical models using regression, classification, ensemble methods, and deep learning.
• Write reusable, efficient code to automate machine learning pipelines and data processes.
• Collaborate with data engineers, ML engineers, and application developers to integrate models into existing platforms.
• Analyze existing code to identify bugs and recommend architectural improvements.
• Communicate complex model analysis and actionable recommendations to stakeholders.

Required Skills

• 10+ years of experience in data science or related roles.
• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience with Spark and/or Hadoop ecosystems.
• Strong knowledge of Statistics, Machine Learning, Deep Learning, and NLP/NLU.
• Applied experience in Forecasting and Anomaly detection.
• Functional knowledge of Google Cloud Platform (GCP).
• Experience with retail customer behavior analysis and designing algorithms at scale.
• Software engineering principles and Agile methodologies.

Preferred Skills

• Bachelor’s Degree in Computer Science, Statistics, or related field.
• Experience with Dataproc.

Key Skills

Education

Bachelor’s Degree