Data Science Manager: ML Leader for Big Data

MFS Investments; Cambridge (MA); Hybrid; USD 197,000 - 225,000; Full time

Job summary

Capital One in Cambridge, MA is seeking a Data Science Manager to lead model development for underwriting decisions in card acquisitions and management. You will collaborate with data engineers, product managers, and analysts to deliver end-to-end data science solutions on large-scale datasets using a modern tech stack.

Ideal candidates have a strong background in machine learning, open-source languages, and relational databases, with experience in Python, Spark, AWS, and cloud platforms.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years of experience performing data analytics
• Master's degree in a quantitative field or MBA with quantitative concentration plus 4 years of experience performing data analytics
• PhD in a quantitative field plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product 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

Skills

Python

SQL

Machine learning

Big data

Education

Bachelor's degree in quantitative field

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

PhD in quantitative field

Tools

AWS

Spark

H2O

Conda

Job description

Capital One in Cambridge, MA is seeking a Data Science Manager to lead model development for underwriting decisions in card acquisitions and management. You will collaborate with data engineers, product managers, and analysts to deliver end-to-end data science solutions on large-scale datasets using a modern tech stack.

Ideal candidates have a strong background in machine learning, open-source languages, and relational databases, with experience in Python, Spark, AWS, and cloud platforms.