Top Data & Analytics Jobs in New York City, NY
The Data Scientist III will process and analyze healthcare data, maintain and optimize data pipelines, and improve the team's codebase while collaborating with experts in causal inference to evaluate product impacts and perform business analytics.
As a Marketing Science Analyst, you will collect and analyze consumer data, market trends, and campaign performance using proprietary tools. You will develop statistical models, create insight dashboards, and collaborate to present findings that support decision-making and improve business outcomes.
The Senior Data Analyst will lead data analysis for the Ads Product team at SoundCloud, enhancing dashboards and implementing predictive methodologies to improve ad performance. Responsibilities include defining KPIs, conducting A/B tests, analyzing data for insights, collaborating with various teams, and staying updated with ad tech trends.
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As a Senior Analyst in FP&A at Shutterstock, you'll perform financial modeling, support revenue and expense forecasting, prepare reports, analyze business metrics, and provide insights for strategic decision-making. You'll be involved in tracking KPIs and conducting scenario planning for various initiatives.
As a Staff Data Engineer, Ads at Reddit, you'll lead the analytics engineering within the Ads Data Science team to enhance data quality and automation. Responsibilities include developing robust data pipelines, creating user-friendly tools for data analysis, mentoring other data analysts, and fostering a data-driven culture across the company.
The Operational Risk Analyst will assist in identifying, assessing, and mitigating operational risks within the organization. Responsibilities include coordinating risk activities, conducting risk assessments, preparing governance reports, and maintaining relationships with stakeholders.
The Transfer Analyst plays a crucial role in facilitating IPv4 transfers, providing excellent customer service, managing transactions, and ensuring compliance with transfers. Responsibilities include tracking transfers, answering customer inquiries, and representing the company at conferences.
The role involves performing quantitative research using Python and presenting findings to hedge funds and investment firms. Strong problem-solving skills and an interest in discussing ideas are essential.
As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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