Senior Data Scientist, Generative AI

Role Summary

Senior Data Scientist, Generative AI – New Brunswick, NJ. Develop data science products and apply advanced Generative AI models to deliver high-impact solutions within Global Finance, collaborating with a global team of Data Scientists, Data Engineers, Finance Analysts and Machine Learning Engineers.

Responsibilities

• Develop data science solutions: understanding business problems, data processing, algorithms to discover trends, data visualization, generation of key insights, and communication to senior stakeholders.
• Employ Generative AI techniques to upgrade ML models into hybrid models, leveraging LLMs while mitigating hallucinations.
• Ensure GEN AI output adheres to rules and guidelines defined by legal, Compliance and IT.
• Write production-level and scalable code in Python or R.
• Implement machine learning and statistical models for Predictive, 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; use data visualization and dashboards for interactive presentations.
• Deploy analytical models into production with proper version control and documentation.
• Automate data pipelines and orchestrate workflows.
• Leverage robust data architecture and cloud-based stacks to support production-level work.
• Partner with cross-functional teams to ensure project success and adoption.
• Keep up to date with latest technology trends in data science and AI, including Generative AI.
• Collaborate in a global, agile team across multiple time zones, emphasizing innovation, teamwork, and inclusion.
• Advocate for data-driven insights across J&J’s Global Finance organization and understand the business to apply data science solutions effectively.

Qualifications

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

Skills

• Advanced analytics, data visualization, data storytelling
• Gen AI, NLP, time series forecasting
• Python, R; scalable production-grade code
• Data architecture, cloud technologies, data pipelines
• Stakeholder management, cross-functional collaboration

Education

• Bachelor’s degree required; Master’s preferred in relevant quantitative field.

Additional Requirements

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