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Top Senior Level Data Science Jobs in Miami, FL

149+ Job Results
23 Days Ago
US
Remote
303 Employees
120K-140K Annually
Senior level
303 Employees
120K-140K Annually
Senior level
Biotech
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
23 Days Ago
Florida, USA
Remote
1,514 Employees
Senior level
1,514 Employees
Senior level
Insurance
The Decision Science Analyst IV will leverage data-driven methods to make recommendations, develop BI solutions, and enhance analytics for business transformation. Responsibilities include data enrichment, project collaboration, coding, and communicating insights to non-technical audiences. This senior role requires strong problem-solving and influence within teams to drive results across the organization.
23 Days Ago
4 Locations
Remote
900 Employees
180K-222K Annually
Senior level
900 Employees
180K-222K Annually
Senior level
Software
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+13 More
24 Days Ago
USA
Remote
123 Employees
121K-169K Annually
Senior level
123 Employees
121K-169K Annually
Senior level
Fintech • Payments • Software • Financial Services
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+19 More
24 Days Ago
USA
Remote
403 Employees
130K-210K Annually
Senior level
403 Employees
130K-210K Annually
Senior level
Software • Financial Services
As a Senior Data Scientist in Fraud Detection, you will analyze and mitigate fraud risks using advanced analytics and machine learning. Collaborate with product and engineering teams to build data-driven solutions and improve fraud detection strategies while maintaining an understanding of current trends.
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