AI and Machine Learning Data Scientist (Supply Chain & Sales Analytics)

Join Data Scientist (Supply Chain & Sales Analytics) TalentCloud

If you possess mastery in any of the roles or skills below, you can apply to this TalentCloud. Once you become an approved Experfy TalentCloud member, you will get exclusive access to jobs and project opportunities from our clients.

Cloud Description

Experts in this TalentCloud should be able to obtain, process, clean, and analyze structured and unstructured data to build models that generate actionable insights based on supply chain analytics. This TalentCloud requires 2+ years of previous work in supply chain analytics or a related field. The experts should have a passion for analyzing data using a variety of supervised and unsupervised machine learning models to discover new trends/insights in data to inform decision-making within supply chain departments. 

Required Skills

  • Proficient in Python 
  • Extensive experience with scikit-learn, statsmodels, SciPy
  • Extensive experience in linear programming and matrix algebra
  • Extensive experience with probability models
  • Extensive experience with optimization methods
  • Familiar with order processing, order consolidation, and order allocation management
  • Expert in supervised (classification, regression) and unsupervised machine learning (anomaly detection, cluster analysis)
  • Proficient in building/ tuning/ testing models using machine learning and deep learning algorithms including tree-based methods, Bayesian models, support vector machines, feed forward networks, recurrent neural networks, and convolutional neural networks
  • Expert in feature engineering and dimensionality reduction methods
  • Expert in pre-processing data including dealing with anomalies and outliers, dealing with missing values, flooring/ capping, and data transformations
  • Hands-on experience writing data processing and data pipeline for structured and unstructured data model development 
  • Expert in statistical models such as regression analysis, survival analysis, and time series analysis
  • Proficient in SQL and Tableau and BI technologies
  • Excellent communication and storytelling skills 
  • Comfortable working independently
  • Familiarity with version control, especially Git/GitHub

Preferred Skills 

  • Experience with Ruby or Java
  • Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis
  • Experience with NoSQL databases 
  • Experience with Keras, PyTorch, and TensorFlow 
  • Web crawling/scraping with Python
  • Experience with Containers