Data Scientist, IBM Corporation, Austin, Texas (40% telecommuting permitted):
- Analyze mergers and acquisitions data using machine learning concepts to derive actionable insights.
- Build and deploy machine learning models using Generative AI (Artificial Intelligence) functions like Watson X to perform advance data analysis.
- Perform analysis on support systems data and generate data visualizations to effectively communicate results.
- Extract relevant information from acquisition contracts and execute data science operations.
- Maintain a database of customers for newly acquired entities, managing data requests efficiently.
- Perform end-to-end data analysis using machine learning algorithms, including deep learning techniques learned through Udacity nanodegree program (Python, PyTourch).
- Build applications that handle operations such as regression, classification, and clustering on acquisition data.
- Coordinate with stakeholders, both internal and from acquired companies, to ensure smooth data flow.
- Engineer solutions using Watson X AI to process and optimize acquisition data.
- Collaborate with cross-functional teams to develop, deploy, and maintain predictive models.
- Test and validate model performance, tuning parameters, and optimizing algorithms to enhance accuracy and efficiency.
- Utilize: Python, Microsoft Excel, GitHub, Machine Learning, SQL and Data Visualization.
Required: Master’s degree or equivalent in Computer Science, Computer Engineering, Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Analyst, Data Scientist or related. One (1) year of experience must include utilizing Python, Microsoft Excel, GitHub, Machine Learning, SQL and Data Visualization. $144144 to $178600 per year. Full time. AV177.
Required: Master’s degree or equivalent in Computer Science, Computer Engineering, Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Analyst, Data Scientist or related. One (1) year of experience must include utilizing Python, Microsoft Excel, GitHub, Machine Learning, SQL and Data Visualization.
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