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11 Days AgoSaved
Hybrid
8 Locations
158K-190K Annually
Internship
158K-190K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.
Top Skills: PythonRSQL
11 Days AgoSaved
Hybrid
8 Locations
130K-156K Annually
Internship
130K-156K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
As a Data Science Intern, you'll analyze data, create predictive models, and communicate insights while developing machine learning solutions for Capital One.
Top Skills: PythonRSQL
Reposted 11 Days AgoSaved
Hybrid
9 Locations
144K-197K Annually
Senior level
144K-197K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead Platform Engineer will support Capital One's HR technology ecosystem by configuring Workday solutions, collaborating with stakeholders, and optimizing business processes.
Top Skills: Workday
Reposted 12 Days AgoSaved
Hybrid
Cambridge, MA, USA
193K-221K Annually
Senior level
193K-221K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead productionizing machine learning applications and systems, collaborate with cross-functional teams, and design ML models and infrastructure for business solutions.
Top Skills: AWSAzureDaskGoogle Cloud PlatformJavaPythonPyTorchScalaScikit-LearnSparkTensorFlow
Reposted 12 Days AgoSaved
Hybrid
2 Locations
159K-181K Annually
Mid level
159K-181K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Design and develop full-stack solutions, collaborate with teams, mentor engineers, and leverage cloud technologies to enhance financial empowerment for users.
Top Skills: AWSDockerKubernetesNoSQLPythonRdbmsSQLTypescript
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Reposted 12 Days AgoSaved
Hybrid
Cambridge, MA, USA
159K-181K Annually
Mid level
159K-181K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Data Engineer will develop and support solutions using big data technologies in a collaborative Agile environment while mentoring team members.
Top Skills: AWSEmrGCPGurobiHadoopHiveJavaKafkaLinuxMapreduceAzureMySQLNoSQLOpen Source RdbmsPythonRedshiftScalaSnowflakeSparkUnix
Reposted 12 Days AgoSaved
Hybrid
2 Locations
159K-181K Annually
Mid level
159K-181K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves designing, developing, testing, and supporting full-stack solutions, collaborating with Agile teams, and mentoring peers.
Top Skills: AWSDockerKubernetesPythonSQLTypescript
Reposted 13 Days AgoSaved
Hybrid
3 Locations
193K-240K Annually
Senior level
193K-240K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager of Ontology and Data Modeling, you'll lead ontology development and data modeling efforts, collaborate with cross-functional teams, define KPIs, and advocate for semantic technology at Capital One.
Top Skills: Amazon Web ServicesData ModelingGraph DatabasesJSONOntologyOwlPythonRRdfRdfsSkosSparqlSQLW3C StandardsXML
15 Days AgoSaved
Hybrid
4 Locations
176K-241K Annually
Mid level
176K-241K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Lead Data Engineer, you'll develop and support technical solutions, work on data-driven projects using various technologies, and collaborate with Agile teams.
Top Skills: AWSCassandraEmrGCPGurobiHadoopHiveJavaKafkaMapreduceAzureMongodbMySQLNoSQLPythonRdbmsRedshiftScalaSnowflakeSpark
Reposted 15 Days AgoSaved
Hybrid
7 Locations
176K-240K Annually
Senior level
176K-240K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the Gen AI SDK Experiences product team, defining product vision and collaborating with cross-functional teams to maximize customer value and product success.
Top Skills: AgileMachine LearningProduct Management
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