Data Scientist - Supply Chain Solutions-Remote

1 week ago
Contract
Senior
Data Science and Analytics
Xenon7

Xenon7

Xenon7 provides advanced AI solutions and consultancy services, leveraging a team of highly qualified experts and a strong emphasis on research and innovation to address complex industry challenges and enhance operational efficiency.

Internet Software & Services
Founded 2014

Description

  • Collaborate with business stakeholders to gather and analyze requirements and align solutions with project objectives.
  • Design, develop, and deploy machine learning models for supply chain and inventory management use cases.
  • Prepare data, build models, and develop pipelines using Python, Databricks, and Snowflake.
  • Use AWS services to build, deploy, and scale machine learning solutions in production environments.
  • Apply time series forecasting, regression, LSTM, neural networks, and classification models to business problems.
  • Drive discussions, present solutions, and own the end-to-end machine learning delivery process.
  • Monitor, evaluate, and optimize model performance continuously after deployment.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of relevant experience in machine learning engineering, data science, or AI solution delivery.
  • Strong expertise in Python, Databricks, Snowflake, and AWS.
  • Hands-on experience with time series forecasting, regression models, LSTM, neural networks, and classification models.
  • Deep functional knowledge of supply chain management, especially inventory management.
  • Proven ability to gather business requirements and translate them into technical solutions.
  • Excellent verbal and written communication skills for technical and non-technical stakeholders.
  • Strong problem-solving mindset with a proactive, ownership-driven approach.
  • Prior experience in supply chain machine learning applications is highly desirable.

Interested in this position?

Apply directly on the company website

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