Machine Learning Engineer 3

Role Description

Contribute to a team responsible for developing and supporting optimization and forecasting solutions for software used for inventory management, planning, and campaign delivery.

• Apply mathematical programming, including linear and mixed integer programming and decomposition techniques.
• Use machine learning techniques including tree-based models, linear and logistic regression, and time series models.
• Use scikit-learn to create models.
• Perform statistical modeling using techniques including linear and logistic regression, as well as clustering analysis.
• Program using Python.
• Manage code using Git.
• Perform time series forecasting.
• Manage relational databases and analyze data using SQL.
• Perform distributed computing using Spark and TensorFlow.
• Contribute to both software engineering and machine learning sides of projects.
• Implement, refine, and validate machine learning algorithms for products and applications.
• Develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.
• Train machine learning models, validate their accuracy, and deploy validated models into production.
• Research, write, and edit documentation and technical requirements, including evaluation plans and technical manuals.
• Create patents, including Application Programming Interfaces (APIs) and other intellectual property.
• Test and evaluate solutions presented by various internal and external partners and vendors.
• Complete case studies, testing, and reporting.
• Design proof of concept solutions and contribute to studies to support future product or application development.
• Collaborate with teams outside of immediate work group.
• Represent the work team in providing solutions to technical issues associated with assigned projects.

Position is eligible for 100% remote work.

Qualifications

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

Requirements

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

Benefits

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Please visit the benefits summary on our careers site for more details.