Data Science Jobs in Jersey City, NJ

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 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.

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.

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.

Build and deploy end-to-end AI/ML and predictive modeling solutions for P&C insurance, including pricing, risk segmentation, underwriting decision support, forecasting, and operational optimization. Translate business challenges into measurable analytical outcomes, lead discovery through deployment independently, apply software engineering practices, and communicate technical concepts to business stakeholders.

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.

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.

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.

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.

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.

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 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.

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.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

Lead and develop data science teams to deliver AI/ML, NLP, search, retrieval, and generative AI products for scientific discovery. Set strategy, ensure model quality and responsible AI, partner with product and engineering, mentor staff, and drive measurable impact from research to production.