Manager, Data Science, Emerging ML

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
McLean, VANew York, NYSan Jose, CA
Salary
$197,300–$225,100 / yr
Employment
Full-time
Posted
119 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $211k
$170k $270k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $180,037–$260,050 — the blue band above. At the midpoint, this role pays about $211k versus about $220k 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 · Manager, Data Science, Emerging ML

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The Manager, Data Science - Emerging ML is an individual contributor role within the Emerging ML team in the Applied Research organization. You will conduct research into self-supervised learning, transformer models, and representation learning while building customer behavioral models using transaction and clickstream data. Responsibilities include developing machine learning models through all phases of development, from design to production, and refining integration patterns for encoder and decoder models. You will use Python, Scala, and SQL to analyze numerical and textual data using Spark and AWS. The role focuses on connecting emerging technologies like embeddings and foundation models to business-critical use cases in marketing, servicing, and fraud prevention. You must possess skills in clustering, classification, sentiment analysis, time series analysis, and deep learning to solve complex problems.

What does a Data Science Manager earn?

Median $211200 from 43 postings across 13 companies.

See salary data

Skills

Machine Learning Python Scala AWS Spark SQL Relational Databases Deep Learning Transformer Models Embeddings Foundation Models self supervised learning Representation Learning Time Series Analysis Sentiment Analysis Clustering Classification ROC Curve Confusion Matrix

What you'll do

  • Build machine learning models through all phases of development including design, training, evaluation, and validation.
  • Partner with engineering teams to operationalize models into scalable and resilient production systems.
  • Conduct research into self-supervised learning, transformer models, and representation learning.
  • Build customer behavioral models using transaction and clickstream data to identify trends and patterns.
  • Refine integration patterns for encoder and decoder models for downstream business use cases.
  • Write software in Python or Scala to collect, explore, visualize, and analyze large-scale numerical and textual data.
  • Conduct experiments with business teams to improve customer experiences in marketing, servicing, and fraud prevention.

What we're looking for

  • Must have a Bachelor's in a quantitative field plus 6 years of data analytics experience, a Master's plus 4 years, or a PhD plus 1 year.
  • Must have at least 1 year of experience leveraging open source programming languages for large scale data analysis.
  • Must have at least 1 year of experience working with machine learning.
  • Must have at least 1 year of experience utilizing relational databases.
  • Must have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud platforms.
  • Must have experience with clustering, classification, sentiment analysis, time series analysis, and deep learning.
  • Must be able to communicate findings clearly and effectively to non-technical audiences.
  • PhD in a STEM field (preferred).
  • Experience working with AWS (preferred).
  • At least 4 years of experience in Python, Scala, or R (preferred).
  • At least 4 years of experience with machine learning (preferred).
  • At least 4 years of experience with SQL (preferred).

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