PURPOSE:

Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable

accommodations may be made to enable individuals with disabilities to perform the essential functions.

Key Requirement:

Experience building data pipeline for ML and AI models,

Experience optimizing ML/AI Model Code and deployments

Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools

Education Level: Bachelor's Degree

Education Details: Statistics, Mathematics, Computer Science or related field

Experience: 8 years of relevant work experience.

Preferred Qualifications

Knowledge, Skills and Abilities (KSAs)

Ability to communicate effectively and document objectives and procedures., Expert

Ability to leverage a wide variety of data science tools and frameworks., Expert

Ability to support data exploration and data analysis tasks in support of analytics objectives., Expert

Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert

Proficiency in statistical modeling applications., Expert

Proficiency in advanced SQL in multiple syntaxes., Expert