Senior Associate Data Scientist, Business Cards Marketing Data Science

Capital One Financial

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: New York, NY
Salary: $148,000–$168,900 / yr
Posted: 37 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $167k

This role $158k

$112k most similar roles pay here $220k

This role pays less than 61% of similar roles. Most pay $135,000–$198,950 — the shaded band above. At the midpoint, this role pays about $158k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Business Cards Marketing Data Science

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Senior Associate, Data Scientist - Business Cards Marketing Data Science joins the Business Cards Marketing Data Science team to enhance marketing campaigns through advanced analytics. This role involves partnering with cross-functional teams of engineers and product managers to build machine learning models across all development phases, including design, training, evaluation, and implementation. The position focuses on analyzing large volumes of numeric and textual data to understand customer behavior and increase personalization for existing and new customers. Candidates will utilize a technical stack including Python, Conda, AWS, H2O, Spark, SQL, Scala, and R. The work involves applying statistical methods such as time-series models, regression, classification, ensemble models, LLMs, and causal learners to solve complex problems in the credit card industry by leveraging big data to drive meaningful business value and informed decision-making.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

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Skills

Python AWS Spark H2O SQL Conda R Scala Machine Learning Deep Learning LLMs Time-Series Regression Classification Clustering Sentiment Analysis Big Data Statistical Modeling

What you'll do

Develop machine learning models through all phases of development including design, training, evaluation, validation, and implementation.
Analyze large volumes of numeric and textual data using Python, Spark, H2O, and AWS to uncover hidden insights.
Build statistical models such as time-series, regression, classification, ensemble models, LLMs, and causal learners.
Translate complex technical findings into tangible business goals for marketing campaigns and decision-making processes.
Partner with cross-functional teams of engineers and product managers to deliver high-quality products for customers.
Research and evaluate emerging technologies and state-of-the-art methods to improve data science solutions.
Retrieve, combine, and analyze data from various sources and structures to optimize marketing personalization.

What we're looking for

A Bachelor's degree in a quantitative field plus 2 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration.
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.
Experience working with AWS and cloud computing platforms.
Proficiency in developing models for clustering, classification, sentiment analysis, time series, and deep learning.
Ability to analyze large volumes of numeric and textual data using tools like Spark and H2O.

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