Top Senior Level Data & Analytics Jobs in NYC, NY
As a Senior Manager Analytics for Growth at Brigit, you'll drive data strategies to enhance user engagement and optimize marketing efforts. Responsibilities include developing user acquisition methodologies, collaborating with product teams on growth strategies, managing experiments, and coaching junior team members while reporting on performance metrics to stakeholders.
As a Lead Data Scientist, you will develop and optimize models to identify credit risk, predict customer churn, and improve retention and marketing spend efficiency. You will leverage rich data to enhance financial services for underserved customers and collaborate closely with Product and Engineering teams.
The Senior Analyst will support analytics and research for U.S. Structured Credit ratings, assist in the development of rating methodologies, manage Python-based rating models, and conduct analytical and market research. Responsibilities also include documentation maintenance, training analysts, and supporting ratings administration.
The Assistant Vice President, Quantitative Analyst is responsible for building and validating quantitative models related to credit risk, enhancing the stability of existing models, developing insights from large datasets, and communicating results to stakeholders. The role involves mentoring other analysts and ensuring the application of quantitative methods to business challenges.
As a Database SRE at Hudson River Trading, you will design, build, and maintain a distributed database infrastructure using SQL and NoSQL technologies. Responsibilities include optimizing PostgreSQL and MySQL servers, applying infrastructure-as-code tools, and enhancing performance through database metrics and monitoring solutions. The role requires collaboration with various stakeholders to ensure a reliable trading infrastructure.
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As a Senior Machine Learning Engineer, you will build and scale personalization and search platforms for the Max streaming app, collaborating with data science engineers and optimizing machine learning systems. You will contribute to a recommendation system, improve quality and performance, author production-level code, and support troubleshooting efforts.
The Senior Machine Learning Engineer will build and scale personalization and search platforms for the streaming app Max, collaborating with engineers and researchers to enhance recommendation systems. Responsibilities include architecting machine learning systems, improving platform performance, and contributing to code reviews and technical documentation.
Lead the design, research, modeling, and evaluation of Machine Learning models and systems at CNN. Collaborate with ML Platform engineers and leaders to improve model training and deployment. Mentor engineers, collaborate with data scientists, product teams, and drive ML projects from problem to completion. Support Engineering and Product leaders in strategic planning and innovation. Advocate for customer-centric solutions and experimentation.
The Senior Research Scientist at Kensho will drive innovation in AI solutions, focusing on developing Large Language Models, long-context question-answering, complex reasoning, and improving alignment and tokenization techniques. The role emphasizes collaboration with a diverse team, ongoing R&D projects, and interaction with academia to advance machine learning technologies.
Lead analytics and survey research for Applecart's client services. Manage data analysts and integrate data science into actionable strategies for clients. Oversee survey development, ensure quality assurance, and adapt methodologies for optimal results.
The Senior Data Engineer will build and optimize data integration pipelines for data lakes and warehouses. Responsibilities include collaborating with stakeholders, enhancing data transformations, ensuring data integrity, and championing coding standards. The role calls for coding and maintaining a multi-cloud infrastructure, as well as working closely with analytics engineers.
The Senior Analytics Engineer will develop data marts, ensuring data quality and integrity. They will collaborate with various teams to enhance data accessibility and will create impactful reports and dashboards for stakeholders.
The Manager of Data Strategy & Privacy will develop and execute data initiatives to support business objectives, leverage analytics for growth, and implement data governance policies. This role involves collaborating with cross-functional teams, utilizing advanced analytics tools, and staying informed on industry trends and regulations regarding consumer privacy.
As a Data Scientist III at Cedar, you will leverage AI to develop features that enhance patient billing clarity and streamline healthcare workflows. Responsibilities include creating curated datasets, designing AI solutions, and collaborating across teams to drive business value through data insights.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
The Senior Information Security Risk Analyst will lead the enhancement of the Information Security Risk Management program, manage comprehensive cyber assessments, provide guidance on remediation for security gaps, prepare reports for leadership, ensure compliance with security policies, mentor junior team members, and oversee the implementation of a Governance, Risk, and Compliance solution.
Lead the sourcing and licensing of map data, build partnerships for Radar Maps, and collaborate with engineering to create new data systems. Engage with customers and open mapping communities to ensure coverage and address their feedback.
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