Machine Learning Engineer 3- 7882

What you'll do

• Develop and support optimization and forecasting solutions for inventory management, planning, and campaign delivery software
• Apply mathematical programming techniques including linear and mixed integer programming and decomposition
• Use machine learning techniques such as tree-based models, linear and logistic regression, and time series models
• Create models using scikit-learn
• Perform statistical modeling to determine best modeling techniques
• Program in Python and manage code with Git
• Perform time series forecasting
• Manage relational databases and analyze data using SQL
• Perform distributed computing using Spark and TensorFlow
• Implement, refine, and validate machine learning algorithms for products and applications
• Develop data pipelines including data ingest, validation, cleaning, and monitoring
• Train, validate, and deploy machine learning models into production
• Research, write, and edit documentation and technical requirements
• Create patents including APIs and other intellectual property
• Test and evaluate solutions from internal and external partners and vendors
• Complete case studies, testing, and reporting
• Design proof of concept solutions and contribute to future product/application development
• Collaborate with teams outside immediate work group
• Represent the team in providing solutions to technical issues

Requirements

• Master’s degree or foreign equivalent in Computer Science, Engineering, Data Science, Business Analytics, Statistics, or related technical/quantitative field
• 1 year experience using machine learning techniques including tree-based models, linear and logistic regression
• Experience using scikit-learn or similar packages to create models
• Experience performing statistical modeling including clustering algorithms or linear/logistic regression
• Programming experience in Python
• Code management experience using Git
• 6 months experience performing time series forecasting
• Experience analyzing data using SQL
• Experience performing distributed computing using Spark, TensorFlow, or similar frameworks

Tech stack

Benefits