Senior Associate Data Scientist, Alternative Data Strategy

Capital One Financial

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Hybrid

Quick summary

Work type: Hybrid
Location: McLean, VANew York, NY
Salary: $135,600–$154,800 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k

This role $145k

$100k $220k

below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $129,126–$192,162 — the blue band above. At the midpoint, this role pays about $145k versus about $161k 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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Data Scientist, Alternative Data Strategy

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The Senior Associate, Data Scientist - Alternative Data Strategy joins the Alternative Data Strategy team to drive credit decisioning forward by integrating non-traditional datasets into US Card strategies. In this role, you will evaluate emerging vendors and data products, engineer high-impact features, and build scalable processing and monitoring systems. You will serve as a data domain expert, navigating risk governance for vendor models and building challenger models to enhance existing ones. You will utilize a technical stack including Python, Conda, AWS, H2O, Spark, and SQL to reveal insights within large volumes of numeric and textual data. Key responsibilities involve building machine learning models through all phases of development, including training, evaluation, and validation, while collaborating cross-functionally to translate complex technical work into tangible business goals.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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Skills

Python AWS Spark H2O SQL Scala R Conda Machine Learning Deep Learning Time Series Sentiment Analysis Clustering Classification Statistical Modeling

What you'll do

Evaluate emerging vendors and data products to integrate non-traditional datasets into credit strategies.
Engineer high-impact features and build scalable processing and monitoring systems.
Build machine learning models through all phases of development, including design, training, and validation.
Serve as the dedicated data domain expert to guide users on dataset applications.
Navigate risk governance for vendor models and build challenger models using new data.
Use Python, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Translate complex technical work into tangible business goals for cross-functional stakeholders.

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.
Experience developing data science solutions using open-source tools and cloud computing platforms.
Experience building, validating, and backtesting models using clustering, classification, sentiment analysis, time series, and deep learning.
Experience retrieving, combining, and analyzing data from a variety of sources and structures.
Master’s Degree in a STEM field or a PhD in a STEM field (preferred).
Experience working with AWS (preferred).
At least 2 years’ experience in Python, Scala, or R (preferred).
At least 2 years’ experience with machine learning (preferred).
At least 2 years’ experience with SQL (preferred).

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