Top Data & Analytics Jobs in New York City, NY
Lead the execution of data-driven insights to enhance digital products, utilize advanced machine learning and generative AI technologies to identify customer needs, build machine learning models, and translate complex work into tangible business goals.
Join Capital One's Commercial Data Science team as a Principal Data Scientist to partner with cross-functional teams in delivering products, building machine learning models, and mining insights from large datasets to make crucial business decisions.
Seeking a highly skilled professional to lead data migration initiatives, develop comprehensive data modernization roadmaps, drive cross-functional collaboration, optimize resource allocation, ensure fiscal responsibility, offer senior-level guidance, champion stakeholder engagement, prioritize high-impact initiatives, enhance data quality, collaborate with business units and IT, oversee migration to modern cloud-based platforms, uphold data governance standards, foster innovation and efficiency, and build a high-performing team.
The Senior Machine Learning Operations VP will build and maintain pipelines for model training, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation and other activities vital for model development, testing, and deployment in a well-managed, controlled environment.
The Senior Machine Learning Operations Senior Associate will build and maintain pipelines for model training, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation and other activities vital for model development, testing and deployment in a well-managed, controlled environment. Responsibilities include deploying and maintaining infrastructure, building pipelines, monitoring tools, and collaborating with other engineering teams. Required qualifications include a BS degree in Computer Science, 3+ years of applied experience, and proficiency in tools like Sagemaker, Vertex AI, and container technologies.
Design highly scalable data pipelines, deploy AI models, monitor pipeline robustness, integrate datasets, stay updated on AI developments, collaborate with data scientists on research and production implementation.
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Lead a team of Data Integration Engineers, provide technical guidance on data integration, design data integration flows, and work closely with various teams to improve solution offerings.
Seeking a Staff Pricing Analyst to develop and optimize pricing strategies, leverage pricing models for profitability, and present analyses to business leaders. Requires a B.S. or M.S. in a quantitative field, 7+ years of industrial experience in pricing or financial services, exceptional programming skills in SQL and Python, and strong knowledge of Tableau.
As a Data Analyst at Nourish, you will be responsible for delivering high-quality insights and dashboards for leadership to make key business decisions. You will contribute to defining key business metrics, provide recommendations, collaborate with cross-functional partners, and proactively identify data gaps. This is a high-impact role in a data-driven organization that is on a mission to improve healthcare through nutrition.
Join iCapital as a Vice President in the Analytics and Strategic Initiatives team to lead critical strategic initiatives, implement growth strategies, define KPIs, drive operational excellence, and provide data-informed insights for decision-making. Collaborate with various stakeholders, build high-performing teams, and optimize business outcomes.
The Sr. Manager, Analytics Extensibility Lead at Pfizer is responsible for leading the development of an enterprise data science and analytics marketplace. This role involves hands-on data engineering and data science work, researching new algorithms, developing analytical products, creating data enrichment utilities, and managing a team of engineers.
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Oversee data-driven assessment of provider quality and manage team of data scientists and clinical researchers. Develop clinical metrics, lead team, and provide industry thought leadership through whitepapers and blog posts. Ideal candidate has 8+ years of data science experience, management experience, healthcare background, and a desire to improve the U.S. healthcare system.
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Seeking a Senior Data Scientist with expertise in private markets and alternative investments to analyze complex data sets, develop data models, create data visualizations, collaborate with teams, and stay updated on industry trends.
Senior Machine Learning Engineer role at Canoe Intelligence focusing on NLP algorithm development, model training, data preprocessing, collaboration with teams, research, and mentorship. Responsibilities include leading design and implementation of NLP algorithms, developing language models, driving entity resolution solutions, and contributing to innovation. Requires 5 years of ML experience, proficiency in Python and relevant libraries, Bachelor's degree in computer science, and expertise in information extraction and entity disambiguation.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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