Job Description

Job Description

Job Description

We are assisting our very long term client find their next rock star. Please note this is a hybrid position. 

What you will do:

Model Development:

• Design, develop, and deploy machine learning models and algorithms to solve business problems or improve processes for multiple groups
• Build models including but not limited to credit risk, fraud, and offer acceptance propensity
• Perform through testing and validation of models and support various aspects of the business with data analytics, i.e., experience with data and model governance
• Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes, i.e., be up to date on data science research (papers and libraries); be able to build and evaluate models yourself

Advanced Data Analysis:

• Conduct sophisticated analysis on top of models to derive meaningful insights and actionable strategy recommendations.
• Identify new data sources and patterns that add lift to predictive modeling capabilities; come in with existing knowledge about relevant datasets and services to leverage
• Conduct analysis and turn insights into actionable changes for predictive models or policies; have experience identifying and prioritizing the business impact

Statistical Analysis:

• Apply statistical techniques to interpret data, validate models, and ensure robustness of analytical solutions.
• Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences
• Recommend ongoing improvements to methods and algorithms currently in production

Collaboration:

• Work closely with cross-functional teams such as engineering, product management, and business stakeholders to understand requirements and deliver solutions.

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