This role pays less than
61%
of similar roles. Most pay
$172,162–$241,750
— the shaded band above.
At the midpoint, this role pays about
$192k
versus about
$207k
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
1783 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 942 roles with salary data.
JOB TITLE: Manager, Data Science - Consumer and Developer Experience (Remote-Eligible)
The Manager, Data Science - Consumer and Developer Experience (Remote-Eligible) joins the product strategy team to support strategic priorities across diverse product areas, including digital engagement, marketing platforms, and risk management. This role involves partnering with software engineers and product managers to build machine learning models through all phases of development, from design to implementation. You will leverage a technical stack including Python, Conda, AWS, H2O, Spark, and relational databases to extract insights from massive volumes of numeric and textual data. The position requires expertise in clustering, classification, sentiment analysis, time series, and deep learning. You will solve complex analytical questions to translate conceptual visions into scaled digital experiences, ultimately improving customer financial well-being through real-time, intelligent products.
What does a Data Science Manager earn?
Median $211200 from 33 postings across 11 companies.
Partner with software engineers, business analysts, and product managers to deliver customer-centric products.
Use Python, Conda, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Build machine learning models through all phases including design, training, evaluation, validation, and implementation.
Translate complex technical work into tangible business goals for stakeholders.
Develop prototypes and partner with engineering teams to translate conceptual visions into scaled digital experiences.
Research and evaluate emerging technologies and state-of-the-art methods for application.
Retrieve, combine, and analyze data from a variety of sources and structures.
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 experience with clustering, classification, sentiment analysis, time series, and deep learning.
Must be able to build machine learning models through all phases of development, including design, training, evaluation, validation, and implementation.
Must be able to retrieve, combine, and analyze data from a variety of sources and structures.
Preferred: PhD in a STEM field plus 3 years of experience in data analytics.
Preferred: At least 1 year of experience working with AWS.
Preferred: At least 4 years of experience in Python, Scala, or R for large scale data analysis.
Preferred: At least 4 years of experience with machine learning.
Preferred: At least 4 years of experience with SQL.
Python
AWS
Spark
H2O
SQL
Conda
Scala
R
Machine Learning
Deep Learning
Reinforcement Learning
Causal Inference
Recommender Systems
Relational Databases
Big Data
Sentiment Analysis
Time Series
Clustering
Python
AWS
H2O
Spark
SQL
Conda
Machine Learning
Deep Learning
Relational Databases
Scala
R
Sentiment Analysis
Time Series
Clustering
Classification
Big Data
Data Analytics
Python
SQL
AWS
Spark
H2O
Conda
Scala
R
Machine Learning
Deep Learning
Reinforcement Learning
Causal Inference
Relational Databases
Big Data
Sentiment Analysis
Time Series
Clustering
Classification