Senior Associate, Data Scientist - Business Cards Marketing Data Science

Capital One • New York, NY

21h • $148,000 - $168,900

About The Position

Capital One’s Business Cards Marketing Data Science team uses machine learning and statistical methods to understand customer behavior, optimize marketing campaigns, acquire new customers, and strengthen relationships with existing customers. The team explores approaches such as time-series, regression, classification, ensemble, large language, and causal learning models. Data scientists work closely with campaign owners, business analysts, and marketers so models deliver business value and inform decision-making and marketing campaigns.

The Senior Associate, Data Scientist partners with data scientists, software engineers, and product managers to build customer-focused products. The role uses technologies including Python, Conda, AWS, H2O, and Spark to analyze large volumes of numeric and textual data, and develops machine-learning models across design, training, evaluation, validation, and implementation. The position also requires communicating complex work in terms of tangible business goals.

Requirements

• Currently hold, or be in the process of obtaining by the scheduled start date, a bachelor’s degree in a quantitative field and at least 2 years of experience performing data analytics; or a master’s degree in a quantitative field or an MBA with a quantitative concentration.
• Experience developing data science solutions using open-source tools and cloud computing platforms.
• Experience building, validating, and backtesting models, and interpreting metrics such as confusion matrices and ROC curves.
• Experience with clustering, classification, sentiment analysis, time series, and deep learning.
• Ability to retrieve, combine, and analyze data from varied sources and structures.

Nice To Haves

• Master’s degree or PhD in a STEM field.
• Experience working with AWS.
• At least 2 years of experience with Python, Scala, or R.
• At least 2 years of experience with machine learning.
• At least 2 years of experience with SQL.

Responsibilities

• Partner with data scientists, software engineers, and product managers to deliver products customers value.
• Use technologies such as Python, Conda, AWS, H2O, and Spark to uncover insights in large volumes of numeric and textual data.
• Develop machine-learning models through design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals.
• Collaborate with business analysts and marketers to ensure models support business decisions and marketing campaigns.

Benefits

• Comprehensive health, financial, and other benefits supporting employee well-being.
• Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level