Data Science Jobs in Jersey City, NJ

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

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.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

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.

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.

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.

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

Lead enterprise AI governance operations: own AI use-case intake, triage, risk assessment, platform deployment, board coordination, stakeholder reviews, policy implementation, reporting, and ongoing monitoring to ensure responsible AI use.

Lead North America digital and technology programs across multiple product and business teams. Define multi-year strategy, governance, and value realization; align senior stakeholders; manage interdependencies, RAID, vendors, and adoption; drive AI and product innovation while scaling delivery and change across the enterprise.

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.

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.

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 end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

The Senior Solutions Engineer will manage the technical sales process, address customer needs, design solutions, and work closely with sales teams to meet targets while advocating for customer requirements.

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

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.

Responsible for managing key accounts in the financial services sector, driving revenue growth, and collaborating with internal teams and partners to implement strategies.

As a Software Engineer, design and develop applications, write clean code, participate in code reviews, optimize systems, and explore new technologies. Collaborate remotely on impactful projects in fintech, blockchain, and AI with a focus on functional programming.

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.

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 development of quantitative models, scoring methodologies, and analytics for alternative investments by analyzing structured and unstructured data. Partner with Data Engineering, Applied AI, Product, and Business teams to build metrics, dashboards, and predictive models, present insights to stakeholders, and mentor junior staff to improve data quality and product capabilities.

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.