Tech Stack

Description

You will assist in developing AI products by analyzing business requirements, exploring data, building models, and streamlining machine learning operations. You'll collaborate with cross-functional teams to integrate ML solutions into production systems and translate findings into actionable business recommendations.

Requirements

• 3+ years experience as a data scientist developing enterprise models
• Proficiency in Python and data science libraries (pandas, NumPy, scikit-learn) or R
• Understanding of ML algorithms (regression, classification, clustering)
• Experience with cloud data environments (AWS, GCP, Azure, OCI or Databricks)
• Bachelor's or Master's in Computer Science, ML, Applied Math, or related field

Responsibilities

• Collect, clean, and explore datasets to uncover patterns
• Build, evaluate, and deploy predictive models and statistical algorithms
• Design and analyze A/B tests to assess product performance
• Translate analytical findings into actionable business recommendations
• Partner with engineers to integrate ML models into production systems