Job Description
A minimum of 8 years of experience in data science.
- Proven experience developing and validating linear and non-linear regression and classification models
- Experience with data transformation, data science and visualization libraries (JavaScript Highcharts, Python Matplotlib, Pandas), statistical modeling
- Proficiency in SQL and other programming languages like Python
- Ensure our data efforts are aligned with our overall Security and Risk guidelines and protect our client and firm data from unauthorized access or use
- Utilize statistical analysis and machine learning techniques to extract meaningful insights from large datasets related to legal cases, client behavior and market trends
- Demonstrated ability to communicate complex solutions to a non-technical audience
Requirements
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
Requirements
A minimum of 7 years of experience in data science or machine learning engineering role
- Proven experience developing and validating linear and non-linear regression and classification models
- Experience with data transformation, data science and visualization libraries (JavaScript Highcharts, Python Matplotlib, Pandas), statistical modeling
- Proficiency in SQL and other programming languages like Python
- Ensure our data efforts are aligned with our overall Security and Risk guidelines and protect our client and firm data from unauthorized access or use
- Utilize statistical analysis and machine learning techniques to extract meaningful insights from large datasets related to legal cases, client behavior and market trends
- Demonstrated ability to communicate complex solutions to a non-technical audience
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