Data Science Jobs in Jersey City, NJ

Owns the Trade and Working Capital AI use-case portfolio from ideation through delivery and value realization. Translates business needs into technical requirements, prioritizes opportunities, coordinates with AI, data science, technology, data, and infrastructure teams, and drives adoption across product, commercial, and productivity applications. The role also leads AI literacy initiatives, aligns business priorities with enterprise governance and AI programs, manages multi-workstream delivery, and reports progress and realized value to senior stakeholders.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads enablement and PMO activities for an AI solutions portfolio, managing intake, prioritization, roadmaps, milestones, dependencies, governance, reporting, and executive communications. Directly project-manages selected AI initiatives while coordinating product, technology, data science, risk, and business stakeholders. Maintains portfolio documentation, operating cadences, and AI product collateral, improves PMO processes and tooling, and drives accountability and execution across complex, regulated environments.

Develop marketing analytics and data science solutions for Chase Auto Marketing. Analyze complex datasets, assess marketing effectiveness, optimize audience targeting, define KPIs and measurement frameworks, and deliver strategic insights through compelling visualizations and data storytelling. Collaborate with marketing, business, finance, compliance, controls, and analytics teams to align priorities and improve marketing performance.

Configure and implement Fenergo solutions for AML and sanctions compliance, translating business and regulatory requirements into effective system configurations. Analyze complex data, apply advanced analytics and AI fluency, develop client business cases, demonstrate FenX capabilities, improve processes, engage stakeholders, and manage team members while delivering strategic consulting insights.

Own and improve product strategy and operations across product development, roadmapping, resourcing, go-to-market planning, market research, sales enablement, launches, performance metrics, and stakeholder training. The role partners with Product, AI, Data Science, Marketing, Finance, HR, executives, sellers, and clients to translate analysis into strategic recommendations and accelerate Digital and AI product commercialization.

Leads North American insights, analytics, and AI delivery for underwriting teams. Translates business priorities into data products and analytics solutions, drives measurable value and adoption, oversees AI-enabled transformation, partners with underwriting and enterprise Data & Analytics leadership, and develops high-performing teams. The role also promotes responsible AI governance, agile delivery, scalable solutions, and evidence-based decision-making across underwriting and portfolio management.

Leads UX research strategy and execution across Verizon’s multi-brand customer experience portfolio, including digital and AI-enabled products. Conducts mixed-method research, translates insights into product and roadmap recommendations, influences senior executives, establishes research operations and governance, manages vendors and budgets, and develops contracted researchers. Partners across design, product, marketing, engineering, analytics, legal, and data science to improve customer experiences and business outcomes.

Manage strategic banking accounts for NVIDIA’s Financial Services sales team. Own customer relationships, develop account strategies, forecast sales, drive revenue and platform adoption, expand market share, and build partnerships with cloud providers, OEMs, and ISVs. Evangelize NVIDIA’s accelerated computing technologies to executives, data scientists, and IT leaders while leading go-to-market plans, customer education, and cross-functional collaboration.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

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.

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.

Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.

Lead the vision, roadmap, discovery, and delivery of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, guide cross-functional teams, and measure adoption, usability, customer impact, and business outcomes. Champion responsible AI practices involving quality, privacy, transparency, and trust while using customer feedback and product data to continuously improve products.

Participate in a 10-week data science internship supporting model development, testing, validation, and analytical solutions. Collect, clean, transform, and analyze data; identify trends; apply statistical techniques; create visualizations; document findings; and communicate results. Collaborate with data scientists, data engineers, and business stakeholders while learning data science best practices, reproducibility, testing, and responsible data use.

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

Lead end-to-end design and delivery of a global claims transformation initiative, translating business needs into technical requirements, coordinating cross-functional teams, managing project plans, risks, budgets, and change adoption, and driving continuous improvement and automation across international claims operations.

Leads specialty exposure management for non-natural catastrophe and liability portfolios across insurance lines. Oversees analysts performing pre- and post-bind modeling, portfolio production, reporting, regulatory submissions, data quality, and model validation. Partners with underwriting teams to optimize risk-adjusted capacity deployment, presents portfolio insights to senior stakeholders, manages outsourcing relationships, and advances exposure management tools, workflows, AI, automation, and analytics capabilities. Requires extensive insurance or reinsurance catastrophe modeling experience and strong leadership, risk governance, SQL, and analytical skills.

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.

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.

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

Data Science interns apply analytical and data science methods to business and engineering problems. Responsibilities include data profiling, feature engineering, identifying patterns and anomalies, building analytical models and automated tools, and partnering with engineering and business teams to deliver actionable recommendations. Interns gain experience with programming, advanced analytics, machine learning, distributed computing, and scalable data-driven solutions through a structured 10-week program.

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.

Lead and grow a data science team to develop, deploy, and govern ML and advanced analytics solutions. Define strategy, align stakeholders, build scalable processes, mentor staff, and translate technical work into business impact while promoting responsible AI and cross-functional collaboration.