Data Science Jobs in Jersey City, NJ

Lead product discovery and optimization for USD Clearing by conducting user research, defining requirements and epics, analyzing product metrics, collaborating with sales and engineering, building pricing/value analyses, and commercializing payments innovations (APIs, new rails). Drive strategic roadmaps, workshops, and compliance alignment.

Lead the AI use case portfolio for Trade and Working Capital, translating business needs into technical requirements, prioritizing and managing delivery from ideation to value realization, enabling product, commercialization, and productivity AI use cases while driving adoption and governance alignment across stakeholders.

The Advanced Data Science Manager leads a team of data scientists, develops data science strategies, manages client projects, and drives business development while providing thought leadership and mentoring.

Support privacy governance and regulatory compliance across the Americas by advising business units, managing privacy risk, conducting privacy impact assessments, maintaining records of processing activities, coordinating incident and forensic responses, developing policies and training, and working with Legal and Compliance to implement privacy controls for new technologies.

Lead development and execution of an enterprise B2B AI platform product (agentic systems). Define strategy and roadmaps, partner with Data Science and Engineering, prioritize customer and operational needs, use data and analytics to drive decisions, run rapid prototyping and experiments, remove delivery obstacles, mentor teams, and optimize scalable product journeys and workflows.

Lead product design for agentic fraud and claims workflows: translate investigator expertise into scalable agent behaviors, design human-in-the-loop experiences, own backlog, validate solutions with SMEs, and mentor product teams.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.

Develop advanced algorithms, apply machine learning, collaborate with clients, and assess new datasets and technologies for data science projects.

The Sales Leader drives revenue growth by managing strategic client relationships, leading presales activities, and winning multi-million-dollar Quality Engineering deals.

Lead client relationships, delivery, and account growth for analytics engagements. Define analytics roadmaps, scale pilots to long-term programs, present to executives, collaborate with sales, and manage teams solving CPG, Retail, and financial services problems using data science and ML.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

Manage day-to-day AI governance operations including intake, risk triage, stakeholder coordination, platform administration, board preparation, decision tracking, monitoring, reporting, and user enablement to ensure compliant, transparent, and auditable AI use across the enterprise.

The role involves leading analytics delivery to clients, managing relationships, ensuring account growth, and solving complex business problems through data science in various sectors, primarily CPG and Retail.

The role involves writing technical blog posts about API concepts, databases, and related technologies while establishing thought leadership in the field.

The role involves leading the design and delivery of multi-agent systems for underwriting and claims automation, ensuring production readiness and business alignment.

Lead and develop high-performing data science teams to build AI-powered search, retrieval, NLP, generative AI, and knowledge systems for scientific discovery. Define strategy, drive production deployments, establish evaluation and responsible AI practices, partner with product and engineering, mentor staff, and influence senior stakeholders to deliver measurable impact.

The VP, Data Science will lead analytics initiatives in pricing modeling and risk assessment for commercial insurance, mentoring teams and ensuring regulatory compliance.

The Program Manager will coordinate multiple projects, provide strategic guidance, monitor program progress, and manage large customer engagements in the Pharma domain.

Lead and manage a data science team building and maintaining AML/CTF models and analytics (including LLMs) to detect financial crime. Own model lifecycle, stakeholder engagement, production deployment, performance monitoring, and delivery of user-facing analytics and tools to drive risk detection and operational efficiency.

Lead and deliver advanced analytics and predictive modeling for Asset Management distribution. Manage analytics projects and teams, translate business needs into insights, develop metrics/methodologies, communicate results to stakeholders, and support client engagements within Broadridge's FinTech analytics products.

Lead Gen AI and data science strategy for Markets Operations Technology. Manage and mentor data science and ML teams, drive end-to-end development and production deployment of LLM/RAG solutions, collaborate with stakeholders, ensure regulatory and ethical compliance, promote engineering best practices (Agile, DevOps, CI/CD), and advance research and innovation in generative AI.

Lead Data Science for Personal Lines (Homeowners, Auto) at Chubb. Oversee data engineers and scientists to develop pricing, underwriting, segmentation, lifetime value, and operational models. Drive AI adoption, partner with business leaders, shape hiring and upskilling, and deliver analytics products and insights to support strategic objectives.

Lead data science strategy and a rapid-prototyping team to build production-grade ML and GenAI solutions for contractor earnings, tax, and compliance. Drive model governance, automation, and cross-functional delivery to reduce errors, mitigate risk, and scale measurable ROI across product, engineering, and operations.

Lead and manage a data science team building production-ready machine learning models to predict sports outcomes, price markets, create dashboards, and drive insights. Collaborate with product, risk, and trading teams; oversee data collection and cleaning; apply Bayesian methods; troubleshoot code; present to senior leaders; hire and develop talent; improve processes and automation.