Top Data Scientist Jobs in NYC, NY

We seek a Staff Data Scientist to lead projects on provider performance analysis, build predictive models, and mentor team members, impacting healthcare quality and costs.

As a Senior Staff Data Scientist, you'll leverage data analysis and ML models to support SoFi's Home Loans growth. This includes high-level technical leadership, mentoring, stakeholder communication, and building data pipelines.

As a Director, Data Scientist - Generative AI Systems, you will lead a team to develop AI products using NLP and generative AI technologies, partnering with cross-functional teams. Your role involves leveraging open-source programming and machine learning to convert customer data into actionable insights and enhance customer interactions with financial services.

As a Principal Associate Data Scientist, you will develop credit underwriting models using machine learning and statistical methodologies, collaborate with cross-functional teams, and contribute to innovative modeling practices.

The Data Scientist in Finance will analyze financial data, create dashboards, collaborate on data engineering, and find improvements for the business.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Work with product and engineering teams to analyze large datasets, build and deploy machine learning and statistical models, develop data pipelines and mining frameworks, generate predictive insights, and present actionable recommendations. May require nights/weekend availability and independent judgment.

The Senior Associate - Data Scientist will develop AI and machine learning solutions, focusing on model lifecycle management and delivering AI initiatives in collaboration with business teams.

The role involves leading a team to develop personalized recommendation systems using machine learning, working with large datasets, and collaborating across disciplines.

The role involves building machine learning models, collaborating with teams, and leveraging technology to analyze data, ultimately enhancing credit underwriting for business cards.

Lead development of production machine learning models for co-branded card decisioning. Partner with cross-functional teams, use Python, Spark, H2O, and AWS to design, train, validate, and deploy models for approve/decline, product optimization, and customer valuation.

Lead a workstream building production machine learning models for credit decisioning. Partner with cross-functional teams to design, train, validate, and implement models using large-scale data, cloud platforms, and open-source tools. Translate technical results into business recommendations and develop talent within the team.

The GTM Analytics Engineer will build and maintain data infrastructure, automate processes, and collaborate across teams on data management and insights to support revenue growth.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

Collaborate with customers on data science projects, improve ML model architectures, and support product strategy in a client-facing role.

Lead NLP and LLM initiatives: design, train, fine-tune, evaluate, and productionize models for customer-facing applications. Partner with cross-functional teams to build scalable AI solutions using PyTorch, Hugging Face, LangChain, VectorDBs and cloud infrastructure, translating technical work into business impact.

Lead development and deployment of machine learning models using bureau and large-scale numeric/text data. Partner with engineers and product to build, validate, and implement data products, extract insights, and align technical work to business goals while mentoring and influencing stakeholders.

Lead model risk management for Card Intelligence: develop and validate machine learning models end-to-end, define model development standards and change management, collaborate with cross-functional teams, and translate technical results into business goals while using cloud and open-source tools at scale.

Manage a team of data scientists to build machine learning models that help customers regain financial stability using large datasets.

Design, train, validate, and implement machine learning models using large-scale transaction and cash-flow data. Engineer predictive features, partner with engineers and product managers, and translate technical results into business outcomes to forecast creditworthiness and customer behavior.

The role involves collaborating with teams to develop AI-powered products, leveraging NLP and LLM technologies while operationalizing models into production systems.

The role involves partnering with cross-functional teams to build machine learning models and leverage technologies to analyze large datasets for marketing intelligence.

The Data Scientist will build data dashboards, drive insights, and ensure metric quality while collaborating with stakeholders across teams.

Lead development and deployment of high-scale recommendation and personalization ML systems. Partner with cross-functional teams to design, train, evaluate, validate, and implement models using big-data and cloud technologies while aligning results to customer and business goals.

Lead company-wide standards for causal inference and Bayesian experimentation. Build frameworks mapping evidence to actionable confidence levels, design learning strategies for high-impact questions, institutionalize Bayesian practices, partner with engineering to ensure reliable instrumentation, mentor data scientists, and serve as escalation point for complex measurement problems like interference, selection bias, and network effects.