Senior Associate Data Scientist, Business Cards Marketing Data Science

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
New York, NY
Employment
Full-time
Posted
83 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $177k
$121k $231k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $140,550–$213,817.

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, 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 optimize marketing campaigns and deepen customer understanding. You will partner with software engineers and product managers to build machine learning models through all development phases, from design and training to evaluation and implementation. The role involves revealing insights within massive volumes of numeric and textual data to drive business value and personalization. You will utilize a technical stack including Python, Conda, AWS, H2O, Spark, Scala, R, and SQL. Key responsibilities include applying statistical methods such as time-series, regression, classification, ensemble models, LLMs, and causal learners. You will solve complex problems by interpreting confusion matrices and ROC curves to improve marketing outcomes for credit card products.

What does a Data Scientist earn in New York?

Median $173200 from 44 postings across 18 companies.

See salary data

Skills

Python AWS Spark SQL H2O Scala R Machine Learning LLMs Time-series Deep Learning Conda Classification Regression Clustering Sentiment Analysis

What you'll do

  • Build machine learning models through all phases of development including design, training, evaluation, and validation.
  • Leverage Python, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
  • Develop statistical models such as time-series, regression, classification, and ensemble models to understand customer behavior.
  • Analyze big data from various sources to optimize marketing campaigns and increase personalization.
  • Translate complex technical work into tangible business goals for stakeholders and marketing teams.
  • Research and evaluate emerging technologies and state-of-the-art methods to apply to business problems.
  • Implement machine learning solutions that drive business value and influence marketing decision-making.

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 with clustering, classification, sentiment analysis, time series, and deep learning.
  • Experience building, validating, and backtesting machine learning models.
  • Proficiency in retrieving and analyzing data from various 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 of experience in Python, Scala, or R (preferred).
  • At least 2 years of experience with machine learning (preferred).
  • At least 2 years of experience with SQL (preferred).

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