Class Valuation is looking to solve strategic business decisions by analyzing and extracting meaningful insights from large datasets
Requirements
- Machine learning models and algorithms including NLP, ANN, CNN, linear/logistic regression, SVM, and ensemble methods like random forests
- Solution development, algorithm development, and deployment within supervised and unsupervised learning pathways, as well as neural networks
- Programming with Python and relevant libraries and frameworks such as Flask and TensorFlow
- Experience with data visualization libraries such as pandas, seaborn, and matplotlib
- Experience with cloud based native tooling in AWS, like SageMaker studios and Bedrock
- Experience with Natural Language Processing (NLP) techniques, including GRU, LSTM, and transformer architectures like BERT
- Experience with Generative AI to develop domain-specific chatbots and automate various use cases
Responsibilities
- Analyze and extract meaningful insights from large datasets to support strategic business decisions
- Develop and implement classification and regression models using TensorFlow and Python to improve business processes
- Implement algorithms to classify complex business operations and build machine learning models that predict quality of orders that will lead to reduction in completion times
- Design a global multidimensional weighting and ranking system of various features of national vendor profiles and appraisal order feature sets
- Apply various machine learning algorithms, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), linear/logistic regression, Support Vector Machines (SVM), and ensemble methods like random forests
- Utilize tools and platforms such as Python including data visualization libraries such as pandas, seaborn, and matplotlib to communicate insights effectively
- Use cloud based native tooling in AWS, like SageMaker studios and Bedrock, to build an end-to-end machine learning model
Other
- Master’s or foreign equivalent degree in Data Science, Statistics, Computer Engineering or Mechanical Engineering
- 6 months of experience in the job offered or 6 months of experience in the related occupation of Graduate Research Assistanship, Data Scientist, Data Engineer or equivalent
- Occasional domestic travel around 1 to 2 times per year required to Class Valuation’s regional office or corporate home office located in Troy, Michigan
- Telecommuting and remote work permitted 100% of the time from anywhere in the U.S.
- Communicate with senior customer stakeholders and senior technical leadership individuals