Top Data & Analytics Jobs in New York City, NY
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
The People Analytics Analyst will enhance data-informed decision-making regarding workforce and business strategies, focusing on analytical reporting and the use of an HRIS system to improve People Analytics processes and communications within the organization.
As the Manager of Analytics, you will lead efforts to synthesize various data sources, enhance veterinary outreach experiences, and collaborate with cross-functional teams to develop effective experiment design and insight generation processes.
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The Partnerships role at Pinwheel involves pursuing and negotiating data access partnerships with payroll companies and gig platforms, developing strategy for partner engagement, collaborating with product teams to enhance market access, and building strong relationships to maximize data coverage and quality.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
The Credit Analyst will analyze US leveraged loan borrowers, conduct fundamental credit analysis to produce investment ideas, maintain industry dialogues, train junior analysts, and support legal analysts in credit situations.
As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and app feature attribution products, collaborating with various teams, including founders and marketing leadership. You'll utilize your expertise in software engineering and data practices, working with technologies related to cloud services, data manipulation, and consumer marketing.
As a Senior Data Scientist at Octaura, you will drive the product lifecycle from ideation to deployment, develop advanced machine learning models, build scalable cloud-based infrastructure, collaborate with teams to understand client needs, and communicate insights to stakeholders.
As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.
As a Data Journalist at Realtor.com®, you will analyze various housing data sources to uncover trends and insights, write clear articles and visualizations, and collaborate with the editorial team to enhance coverage of the housing market.
The Total Rewards Analyst will focus on managing total compensation for corporate employees, supporting various People Operations initiatives, building tools, analyzing data, and improving reward offerings while managing systems and data flows.
The EDI Analyst will monitor and improve EDI systems within the IT team, focusing on supply chain processes such as procure-to-pay and order-to-cash. Responsibilities include developing EDI systems, performing quality control, maintaining documentation, and troubleshooting EDI issues.
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