Description

You will build, deploy, and optimize machine learning models for freight and logistics problems.

Responsibilities

• Develop and deploy ML algorithms using Python, SQL, and PySpark.
• Preprocess data and handle anomalies using Databricks.
• Execute feature engineering, model experimentation, and selection.
• Perform hyperparameter tuning to optimize model performance.
• Translate data insights into actionable business recommendations via dashboards.

Required Skills

• 5+ years developing machine learning models.
• 3+ years in data science roles with analytics and ML focus.
• Proficiency in Python, SQL, and PySpark.
• Hands-on experience with TensorFlow or PyTorch.
• Strong understanding of statistical modeling and optimization techniques.
• Experience deploying models into production environments.
• Expertise in Databricks for data processing.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience as a Data Scientist in the Freight or Logistics industry.

Key Skills

Education

Bachelor's degree