Capital One
Principal Associate, Data Science - Global Network Analytics, Data Solutions & M
Capital One, Chicago, Illinois, United States
Overview
Principal Associate, Data Science - Global Network Analytics, Data Solutions & Modeling. This role focuses on building and delivering advanced data science solutions within Discover’s Global Payment Network (GPN) and the Global Network Analytics (GNA) team. It involves partnering with cross-functional teams to develop modeling solutions for payment businesses and supporting data products such as Discover Commerce Exchange (DCX). 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 insights from large volumes of numeric and textual data Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation Translate complex analyses into tangible business goals and actions The Ideal Candidate
Customer first: focus on making the right decisions for customers Innovative: keeps current with emerging technologies and applies them where appropriate Creative: thrives on solving undefined problems and sharing new ideas Leader: challenges conventional thinking and contributes to talent development Technical: comfortable with open-source languages; experienced in building data science solutions using open-source tools and cloud platforms Statistically-minded: experience with modeling, validation, interpretation of metrics (e.g., ROC, confusion matrix); experience with clustering, classification, sentiment analysis, time series, and deep learning Data guru: adept at retrieving, combining, and analyzing diverse data sources Qualifications
Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with an expected start date by then: A Bachelor's Degree in a quantitative field plus 5 years of data analytics experience A Master's Degree in a quantitative field or an MBA with quantitative concentration plus 3 years of data analytics experience A PhD in a quantitative field Preferred Qualifications
Master’s Degree in STEM or PhD in STEM At least 1 year of experience with AWS At least 3 years’ experience with Python, Scala, or R At least 3 years’ experience with machine learning At least 3 years’ experience with SQL At least 1 year of experience with Large Language Models (LLMs) or NLP Compensation and Benefits
Capital One will sponsor qualified applicants for employment authorization for this position. Salary ranges are location-specific and may be stated as follows: McLean, VA: $158,600 - $181,000 New York, NY: $173,000 - $197,400 Riverwoods, IL: $144,200 - $164,600 Anytown, IL: $144,200 - $164,600 Candidates hired to work in other locations will be paid according to the range for that location. This role is eligible for performance-based incentives and a comprehensive benefits package. See Capital One Careers site for details. Capital One is an equal opportunity employer (EOE, including disability/vet) and maintains a drug-free workplace. Background checks and disclosures are subject to applicable laws. Reasonable accommodations are available on request. Additional Information
Other job postings mentioned in the original description (e.g., Chicago, IL positions and virtual data analyst roles) are not part of this role’s responsibilities or requirements.
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Principal Associate, Data Science - Global Network Analytics, Data Solutions & Modeling. This role focuses on building and delivering advanced data science solutions within Discover’s Global Payment Network (GPN) and the Global Network Analytics (GNA) team. It involves partnering with cross-functional teams to develop modeling solutions for payment businesses and supporting data products such as Discover Commerce Exchange (DCX). 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 insights from large volumes of numeric and textual data Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation Translate complex analyses into tangible business goals and actions The Ideal Candidate
Customer first: focus on making the right decisions for customers Innovative: keeps current with emerging technologies and applies them where appropriate Creative: thrives on solving undefined problems and sharing new ideas Leader: challenges conventional thinking and contributes to talent development Technical: comfortable with open-source languages; experienced in building data science solutions using open-source tools and cloud platforms Statistically-minded: experience with modeling, validation, interpretation of metrics (e.g., ROC, confusion matrix); experience with clustering, classification, sentiment analysis, time series, and deep learning Data guru: adept at retrieving, combining, and analyzing diverse data sources Qualifications
Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with an expected start date by then: A Bachelor's Degree in a quantitative field plus 5 years of data analytics experience A Master's Degree in a quantitative field or an MBA with quantitative concentration plus 3 years of data analytics experience A PhD in a quantitative field Preferred Qualifications
Master’s Degree in STEM or PhD in STEM At least 1 year of experience with AWS At least 3 years’ experience with Python, Scala, or R At least 3 years’ experience with machine learning At least 3 years’ experience with SQL At least 1 year of experience with Large Language Models (LLMs) or NLP Compensation and Benefits
Capital One will sponsor qualified applicants for employment authorization for this position. Salary ranges are location-specific and may be stated as follows: McLean, VA: $158,600 - $181,000 New York, NY: $173,000 - $197,400 Riverwoods, IL: $144,200 - $164,600 Anytown, IL: $144,200 - $164,600 Candidates hired to work in other locations will be paid according to the range for that location. This role is eligible for performance-based incentives and a comprehensive benefits package. See Capital One Careers site for details. Capital One is an equal opportunity employer (EOE, including disability/vet) and maintains a drug-free workplace. Background checks and disclosures are subject to applicable laws. Reasonable accommodations are available on request. Additional Information
Other job postings mentioned in the original description (e.g., Chicago, IL positions and virtual data analyst roles) are not part of this role’s responsibilities or requirements.
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