Principal Associate, Data Scientist - US Card (Generative AI Systems)

Capital One; New York (NY); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health benefits

Financial benefits

Inclusive workplace

Job summary

A financial services company in New York is seeking a Data Scientist to work with a cross-functional team. The role involves building machine learning models, analyzing large data sets, and working with AWS. Candidates should have a Bachelor’s degree in a quantitative field and substantial experience in data analytics and machine learning. The company offers competitive benefits and focuses on creating data-driven solutions for customers.

Qualifications

• Build machine learning models through all phases of development.
• Experience with large data sets and machine learning.
• A strong understanding of statistical methods and models.

Responsibilities

• Partner with a cross-functional team to deliver products.
• Leverage technologies to reveal insights from data.
• Translate complex analytics into business goals.

Skills

Data analysis

Machine learning

Statistical analysis

Python

SQL

AWS

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

PhD in a quantitative field

Tools

AWS

H2O

Spark

R

Scala

Job description

* 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* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.* Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.* Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.* Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.* Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics* A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)* Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years’ experience in Python, Scala, or R* At least 3 years’ experience with machine learning* At least 3 years’ experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.