Top Data & Analytics Jobs in New York City, NY
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.
As a Staff HR Analyst, you will analyze and visualize HR data to align with strategic goals, support talent strategies, improve processes, and provide insights to HR leaders and stakeholders. Responsibilities include data collection, reporting, HR systems optimization, workforce planning, and supporting continuous improvement initiatives within the HR team.
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This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
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 Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
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.
As a Data Engineer at Edge & Node, you will enhance Graph Node's capabilities, work with complex Rust code, assess performance, and document important aspects of the software while collaborating with a team on improving data processing and querying engines.
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 Sr. Power BI Expert will design and develop visualizations in Power BI, create calculated measures using DAX, publish reports, and collaborate with stakeholders in an Agile environment to derive actionable insights from complex data.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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