Data Science Manager - Pricing & Financial Insights

Capital One Group

Plano (TX)

Presencial

USD 179.000 - 205.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Capital One in Plano, TX seeks a Manager, Data Scientist to lead pricing analytics and drive data-driven decision making. You will collaborate with data scientists, engineers and product managers to deliver impactful solutions using Python, AWS, Spark, and open-source tools.

You will build models end-to-end, interpret results for business leaders, and mentor team members while applying statistical and ML techniques on massive datasets in a cloud environment.

Formación

  • Bachelor’s, Master’s or PhD in a quantitative field with related analytics experience.
  • 10
  • PhD in STEM fields and 3+ years in analytics is preferred.
  • 4+ years of open-source languages for large-scale data analysis.
  • Experience with ML and relational databases is required.

Responsabilidades

  • Partner with data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage Python, Conda, AWS, H2O, Spark to uncover insights from large data assets.
  • Build ML models from design through training, evaluation, validation and deployment.
  • Translate complex work into tangible business goals for stakeholders.

Conocimientos

Customer focus
Innovation
Creative thinking
Leadership
Technical proficiency
Statistical thinking
Data retrieval

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 Plano, TX seeks a Manager, Data Scientist to lead pricing analytics and drive data-driven decision making. You will collaborate with data scientists, engineers and product managers to deliver impactful solutions using Python, AWS, Spark, and open-source tools.

You will build models end-to-end, interpret results for business leaders, and mentor team members while applying statistical and ML techniques on massive datasets in a cloud environment.

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