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Top Fintech Data Science Jobs in New York City, NY

20 Days AgoSaved
Hybrid
7 Locations
250K-300K Annually
Senior level
250K-300K Annually
Senior level
Fintech • Payments
Lead the Data Science function at Varo, driving analytics and machine learning initiatives to enhance decision-making and support organizational growth.
Top Skills: AWSAzureGCPHivePandasPythonPyTorchScikit-LearnSparkTensorFlow
Reposted 20 Days AgoSaved
Easy Apply
In-Office
New York, NY, USA
Easy Apply
165K-172K Annually
Senior level
165K-172K Annually
Senior level
Fintech
The Senior Data Scientist will develop credit models, optimize machine learning systems, analyze credit performance, and collaborate cross-functionally to enhance Clair's financial products.
Top Skills: AWSPythonPyTorchSnowflake Ml PlatformSQLTensorFlowXgboost
Reposted 22 Days AgoSaved
Easy Apply
In-Office
2 Locations
Easy Apply
168K-240K Annually
Senior level
168K-240K Annually
Senior level
Blockchain • Fintech • Cryptocurrency
The Staff Data Scientist will design and deploy machine learning models to detect and prevent fraud, working with cross-functional teams to enhance risk scoring and improve fraud detection methods.
Top Skills: AirflowDatabricksMlflowPythonPyTorchSagemakerScikit-LearnSnowflakeSparkSQLTensorFlowXgboost
Reposted 24 Days AgoSaved
In-Office or Remote
New York, NY, USA
97K-137K Annually
Mid level
97K-137K Annually
Mid level
Fintech • Real Estate • Financial Services
The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.
Top Skills: AWSC++PythonRSAS
Reposted YesterdaySaved
Remote
United States
155K-185K Annually
Senior level
155K-185K Annually
Senior level
Fintech • Analytics • Financial Services
The Senior Data Scientist will develop machine learning models, collaborate with cross-functional teams, and help improve credit risk assessments to drive business growth.
Top Skills: KerasLightgbmPythonPyTorchScikit-LearnSparkmlSQLTensorFlowXgboost
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2 Days AgoSaved
Remote
United States
Senior level
Senior level
Fintech • Financial Services
As an AI-First Data Scientist, you will design and deploy ML solutions, conduct causal analysis, and automate intelligence in decision-making processes. You will work closely with senior operators and business leaders, translating complex problems into data-driven solutions while ensuring model performance and scalability.
Top Skills: Aws SagemakerCloud Ml PlatformsGitJupyterPythonRSQL
3 Days AgoSaved
Easy Apply
Remote
United States
Easy Apply
165K-165K Annually
Senior level
165K-165K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software
The Senior Data Scientist will develop and implement ML models for financial data, translating business challenges into data science problems and owning the entire model lifecycle.
Top Skills: AWSHugging FacePandasPostgresPythonScikit-LearnSnowflakeSQL
4 Days AgoSaved
Easy Apply
Remote
USA
Easy Apply
14-23 Hourly
Internship
14-23 Hourly
Internship
Fintech • Payments • Financial Services
As a Data Science Intern, you will analyze data, create predictive models, and generate insights to support business decisions and program enhancements.
Top Skills: Data AnalysisData Cleaning And PreprocessingData VisualizationPredictive ModelingStatistical Methods
11 Days AgoSaved
Remote
United States
Internship
Internship
Fintech • Information Technology • Software • Financial Services • Cryptocurrency
Support the data science team by analyzing data, executing SQL queries, validating results against analytics tools, and providing insights on user and product behavior.
Top Skills: A/B TestingAmplitudeLookerMixpanelMultivariate TestingOptimizelySQL
Reposted 12 Days AgoSaved
Remote
2 Locations
200K-290K Annually
Senior level
200K-290K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Software • Financial Services
Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.
Top Skills: FlinkKafkaMachine LearningSQL
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