Senior Data Scientist, Generative AI

Role Summary

Senior Data Scientist, Generative AI based in New Brunswick, NJ. You will develop data science products and apply advanced Generative AI models within Global Finance, collaborating with a global team of data scientists, data engineers, finance analysts, and ML engineers to advance the AI roadmap. The role focuses on delivering high-impact insights, automating manual processes, and enabling data-driven decision making across finance and business leaders.

Responsibilities

• Develop data science solutions: understand business problems, process data, apply algorithms to discover trends and patterns, visualize data, generate key insights, and communicate findings to senior stakeholders.
• Employ Generative AI techniques to upgrade models into hybrid systems while managing hallucination risks.
• Ensure GEN AI output adheres to rules and guidelines defined by legal, Compliance, and IT.
• Write production-level, scalable code in Python or R.
• Implement machine learning and statistical models for predictive analytics, time series forecasting, decision support, Gen AI, NLP, etc.
• Execute data science projects end-to-end: data acquisition, preprocessing, modeling, visualization, and integration with end-user systems.
• Develop data processing and modeling pipelines for large datasets from finance and ERP systems (e.g., SAP HANA).
• Present results and insights to senior leaders, facilitating data-driven decision making using visualization and dashboards.
• Deploy analytical models to production, ensuring proper version control and documentation.
• Automate data pipelines and orchestrate workflows.
• Leverage robust data architecture and cloud-based technology to support production work.
• Partner with cross-functional teams to ensure project success and adoption of solutions.
• Stay up to date with latest data science and AI trends, including Generative AI.
• Collaborate in a global, multi-time-zone team with a culture of innovation, teamwork, and inclusion.
• Work on agile projects with prioritization and deadlines; advocate data-driven insights across Global Finance.
• Understand J&J’s business and Global Finance needs to apply Data Science effectively.

Qualifications

• Minimum of 5 years of relevant industry experience.
• Minimum of a Bachelor's degree required; preferred fields include Computer Science, Engineering, Data Science, Business Analytics, Science, Finance, or other quantitative/STEM disciplines. Master’s degree preferred.
• Ability to work and collaborate with a global team, innovate, and drive for shared goals.
• Experience executing Data Science projects from initiation through PoC to Production.
• Knowledge of Big Data, data pipelining, machine learning, with intermediate software development and automation skills.
• Strong commercial focus with a solid background in data science and ML/statistics.
• Data science experience in a finance or commercial setting strongly preferred.
• Ability to connect with cross-functional stakeholders, including senior executives, to identify needs and drive adoption.
• Experience in managing compliance adherence, risk management, and stakeholder commitments in large organizations.

Skills

• Data Pipelines
• Machine Learning Algorithms
• Statistics

Education

• Bachelor’s degree required; Master’s degree preferred in a quantitative or STEM field.

Additional Requirements

• Location: New Brunswick, NJ; up to 10% travel.