Data and Machine Learning Engineer

• Develop machine learning models and deploy them as part of a pipeline.
• Build data sets that provide answers to key business decisions like evaluating risk and reducing costs.
• Use analytics data to create visualizations.
• Research, design, develop, and enhance analytics solutions using a range of reporting, data mining, and analytics techniques, methods, and tools.
• Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Contribute to approaches to data quality, metadata, and/or business rules as they apply to data mining and analytics projects.
• Create and maintain scripts to manipulate data and automate complex workflows.
• Provide guidance on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
• Independently, or as part of a team, perform comprehensive and thorough data collection, utilizing a variety of data sources to analyze trends, problems, or other related issues of major importance in support of audits and investigations.

• Azure and AWS cloud platform analytics and ML service offerings.
• Data visualization software experience using power bi, Tableu or equivalent.
• 3+ years in a Data Analyst Role
• 2+ years Data Mining, Modeling and Reporting
• Strong attention to detail
• Ability to collaborate effectively and work as part of a team
• Data query; import/read/export files
• Table joins, lookups, conditional processing, loops, arrays, macros
• Automation scripting for routine tasks

Languages:

• SAS / Enterprise Guide
• SQL/Proc SQL
• Python
• R
• Korn Shell/Perl
• HTML/CSS/JavaScript

Statistical knowledge:

• Regression modeling
• Confidence interval
• Correlation
• Hypothesis testing
• Sample size calculation

Education: Bachelor's Degree in Mathematics, Computer Engineering or Computer Science or equivalent experience in related areas.