Description

You will build, deploy, and optimize machine learning models to solve complex problems within the freight and logistics domain.

Responsibilities

• Develop and deploy machine learning algorithms and models using Python.
• Perform data preprocessing, including addressing missing data, outliers, and anomalies using Databricks.
• Execute feature engineering, training validation, model experimentation, and model selection.
• Conduct hyperparameter tuning to optimize model performance.
• Translate data insights into actionable business recommendations through visualizations and dashboards.

Required Skills

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

Key Skills

Education

Bachelor's degree