Director of Data Science & AI Strategy

Capital One; Richmond (VA); Presencial; USD 245.000 - 279.000; Jornada completa

Descripción de la vacante

Capital One in Richmond, VA is seeking a Director of Data Science to lead enterprise AI initiatives, design experiments, and guide ML strategy across billions of records.

You will partner with data scientists, AI & ML engineers and product managers to deliver enterprise products that customers love, building models end-to-end and translating complex analytics into tangible business outcomes for leadership.

Formación

• Bachelor's degree in a quantitative field plus 9 years analytics experience
• Master's degree or MBA with a quantitative concentration plus 7 years analytics experience
• PhD in a quantitative field plus 4 years analytics experience
• At least 4 years of experience leveraging open source programming languages for large scale data analysis
• At least 4 years of experience building/deploying AI/ML models in production
• At least 4 years of experience designing and analyzing A/B tests

Responsabilidades

• Partner with a cross-functional team of data scientists, AI & ML engineers, and product managers to deliver enterprise products customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Conocimientos

Customer-first

Innovative

Creative

Leader

Technical

Statistically-minded

Data guru

Educación

Bachelor's Degree in quantitative field

Master's Degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Herramientas

Python

Conda

AWS

H2O

Spark

Descripción del empleo

Capital One in Richmond, VA is seeking a Director of Data Science to lead enterprise AI initiatives, design experiments, and guide ML strategy across billions of records.

You will partner with data scientists, AI & ML engineers and product managers to deliver enterprise products that customers love, building models end-to-end and translating complex analytics into tangible business outcomes for leadership.