Data Science Jobs in Jersey City, NJ

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.

Uses descriptive, predictive, and prescriptive analytics to support Chase Auto’s sales organization and drive auto-originations growth. Responsibilities include analyzing complex datasets, developing KPI and reporting frameworks, creating visualizations, identifying actionable insights, and shaping the analytics agenda. The role partners with business, finance, compliance, and controls stakeholders to inform strategic decisions and optimize dealer-channel performance.

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.

Leads a specialized Business Intelligence and reporting team supporting AML data governance and financial crimes risk management. Oversees reporting, data controls, regulatory reviews, audits, risk remediation, stakeholder relationships, project intake, resource planning, and data visualization standards. Provides strategic direction, executive-level insights, regulatory guidance, and people leadership while ensuring compliance, data quality, continuous improvement, and timely delivery of BI initiatives.

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.

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.

Own the technical sales process from prospecting through post-sales, designing customer solutions with Cloudera technologies, delivering demonstrations and presentations, partnering with account managers, advocating for customers, and supporting upselling and renewals. The role requires enterprise pre-sales experience, cloud and data technology knowledge, strong communication, business requirements discovery, and customer-facing technical evangelism.

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.

Develops and positions Verizon Frontline technology solutions for public safety and public-sector clients. Partners with sales, business development, and cross-functional teams to identify digital transformation needs, create end-to-end solution roadmaps, lead customer engagements, and communicate value propositions through presentations, proposals, white papers, and industry events. Builds executive relationships, supports sales strategy, enables 5G and private-network use cases, and informs product roadmap priorities.

Leads North American insights, analytics, and AI delivery supporting underwriting decisions, portfolio management, operational efficiency, and customer outcomes. Translates business priorities into measurable data products and analytics initiatives, oversees AI-enabled transformation, ensures responsible AI governance, and partners with underwriting and enterprise Data & Analytics teams. Develops high-performing teams, drives adoption, promotes agile and product-oriented delivery, and ensures scalable, reusable solutions that generate business value.

Develop marketing analytics and measurement frameworks for Chase Auto Marketing. Analyze complex datasets, define KPIs, optimize audience targeting, evaluate marketing effectiveness, create compelling visualizations, and communicate strategic insights to executives and cross-functional business and technical stakeholders. Collaborate with marketing analytics teams to standardize deliverables and improve marketing performance.

Leads a data science team supporting financial crime risk modeling and advanced analytics. Oversees AML/CTF model development, maintenance, monitoring, testing, and enhancement across customer risk, sanctions screening, transaction monitoring, and emerging risk. Drives LLM and machine learning innovation, develops analytical tools and dashboards, manages stakeholders, and ensures regulatory compliance, risk controls, and team development.

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

Leads data science delivery across products and markets, owning the analytics lifecycle from business problem definition through production deployment. Manages and develops data science teams, sets modeling standards, and delivers diagnostic, predictive, and prescriptive solutions using machine learning, econometrics, forecasting, optimization, and emerging AI. Partners with product, engineering, and business stakeholders to prioritize initiatives, communicate insights, industrialize solutions on Azure and Databricks, and scale data-driven decision-making.

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 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.

Leads strategy, architecture, development, and deployment of advanced AI solutions for financial services, specializing in LLMs and Agentic AI. Oversees model fine-tuning, alignment, distributed training, inference optimization, deployment, synthetic data, evaluation, and LLMOps/MLOps practices. Guides cross-functional teams from experimentation through production while partnering with product and business leaders to deliver scalable, compliant AI products.

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.

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.

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.