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Data Scientist

3 months ago

Greenville, United States KYYBA Inc Full time

Description:

· " Experience using statistical computer languages (python) to manipulate data and draw insights from large data sets.

· Experience using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and knowledge of their real-world advantages/drawbacks.

· Experience using deep learning architectures (RNN, CNN, LSTM, etc.) and frameworks (Tensor flow, Keras, etc.)

· Experience in natural language processing

· Experience using database technologies including SQL, Oracle, SQL Server, or NoSQL databases.

· Experience using cloud technology and services specifically in AWS including Athena, Glue, Sagemaker, and QuickSight

· Experience with at least one common OpenSource high-level LLM-framework (e.g. LangChain, Llama-Index), evaluation techniques and agentic principles

· Familiarity with modern software development, devops strategies and tooling (GitOps)

· Experience using machine learning models in the automotive industry would be nice to have.

A day in the life includes:

· Working with large data sets and prepping the data for consumption

· Assessing the effectiveness and accuracy of data sources

· Working with business users to obtain more insight into data sources. Asking the right questions to understand how the data can be used.

· Evaluating the results of machine learning algorithms – determining their explain ability

· Determining the feasibility of a use case given the business problem and the available data.

· Monitoring and analyzing model performance

· Performing prompt engineering tasks with specific use cases This position requires a minimum of 40% onsite attendance; 2 days each week."