Top Senior Level Data & Analytics Jobs in Philadelphia, PA
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
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 Investment Portfolio Analytics Manager will oversee the investment data and analytics platform, manage a team of Analysts, ensure accuracy of analytic outputs, redesign asset allocation models, produce quarterly reports, and coordinate with various teams for investment-related data.
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
The Financial Systems and Data Analytics Lead will design, implement, and maintain systems for financial data analytics and process automation, collaborating with cross-functional teams to automate accounting entries, support month-end close, and create financial reports, while also engaging in data management and ad-hoc analytics projects.
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
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 Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.
The ServiceNow Business Process Consultant will help clients adopt ServiceNow best practices by analyzing business needs, leading process improvement workshops, and ensuring solutions align with client expectations. They will also manage client relationships and provide mentoring to team members while acting as the Subject Matter Expert in relevant areas.
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