Top Remote Senior Level Data Science Jobs in Rochester, NY
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
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.
The EDI Configuration Analyst will support electronic data integration workflows by collaborating cross-functionally to implement streamlined solutions and manage data file exchanges critical for client success. Responsibilities include ensuring timely project execution, leading client training, troubleshooting data sharing issues, and acting as a technical resource.
As a Senior Data Scientist at Demandbase, you will develop and apply machine learning models to enhance B2B marketing efforts. Your role includes working on account ranking, intent prediction, and optimizing campaign performance through various ML algorithms, while collaborating across teams to implement these models effectively.
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.
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.
The Senior Research Scientist will architect and build pipelines for training models on driving data, develop and optimize prediction models, and mentor junior engineers while collaborating with perception and motion planning teams.
The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.
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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