Top Hybrid Senior Level Data & Analytics Jobs in New York City, NY

The Director of HR Data Strategy and Analytics will build and manage HR operational infrastructure, enhance efficiency, oversee HR data systems, lead HR analytics capabilities, manage global HR vendor relationships, and ensure compliance during country expansions. The role focuses on continuous improvement, collaboration, and data-driven initiatives to enhance employee experience.

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.

Lead a team of data scientists in developing machine learning models to enhance subscription and monetization strategies across Disney's streaming platforms. Collaborate cross-functionally to analyze data, derive insights, and translate findings into actionable business strategies, while mentoring team members to foster a learning environment.

As a Data Engineer at Canoe Intelligence, you will design and develop scalable data systems, contribute to the growth of the Alts Data Platform, and work closely with AI/ML engineers. Responsibilities include implementing data models and pipelines, collaborating with cross-functional teams, and ensuring operational excellence.

The Compliance Analyst ensures adherence to legal and internal regulations by developing policies, conducting audits, and implementing compliance procedures across departments. The role involves managing risk assessments, employee training, and regulatory documentation to ensure compliance within the organization.

Lead and motivate a team of six data engineers, managing project timelines and deliverables while collaborating with product management to define technical projects. Oversee the design and development of the data platform, mitigate risks, and promote a culture of growth and innovation.

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 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.