Senior Data Scientist, Generative AI
Johnson & Johnson
5 hours ago
Remote friendly (New Brunswick, NJ)
United States
IT
Senior Data Scientist, Generative AI (New Brunswick, NJ)
Purpose:
- Develop data science products, including advanced Generative AI models, delivering practical, high-impact solutions within Global Finance.
- Execute end-to-end Data Science/AI projects across Global Finance: prioritize use cases, design/PoC, develop, deploy, and drive adoption by end-users.
- Deliver predictive financial forecasting, descriptive analytics and data visualization, decision support, cognitive/Gen AI technologies, and data science technology platforms.
- Translate business needs into data science questions; investigate using analytics, machine learning, and AI.
- Partner with stakeholders (Finance Directors/CFO/Group Finance, Commercial leaders, Process Owners, Technology, Finance Systems & Data, Reporting, Compliance) to ensure adoption; ensure PoCs move into production with appropriate automation and systems integration.
You Will Be Responsible For:
- Develop data science solutions: business problem understanding, data processing, trend/pattern discovery, data visualization, insight generation, and communication to senior stakeholders.
- Employ Generative AI techniques to upgrade ML models into hybrid models using LLM summarization while reducing hallucinations.
- Ensure GenAI output adheres to rules and guidelines defined by legal, Compliance, and IT.
- Write production-level, scalable code in Python or R.
- Implement ML/statistical models for predictive/time series forecasting, decision support, GenAI, NLP, etc.
- Perform end-to-end project execution: data acquisition, preprocessing, modeling, visualization, and integration with end-user systems/processes.
- Build data processing and modeling pipelines for large finance/ERP datasets (e.g., SAP HANA).
- Present results and explain complex analysis clearly to senior leaders; use data visualization/dashboarding for interactive presentations.
- Deploy analytical models into production; manage version control and documentation.
- Automate data pipelines and orchestrate workflows.
- Advance robust data architecture and cloud-based technology stack for production work.
- Partner cross-functionally with Technology, Finance Systems & Data, Group Finance/CFOs, Compliance, Data Engineering, and other Data Scientists.
- Stay current on data science and AI trends, including Generative AI.
- Work effectively in a global, agile team across time zones; support collaboration and continuous innovation.
- Advocate and facilitate data-driven insights and data science methods across Global Finance.
Qualifications:
- 5+ years of relevant industry experience.
- Bachelor’s degree (preferred: Computer Science, Engineering, Data Science, Business Analytics, Science, Finance, or other quantitative/STEM). Master’s preferred.
- Ability to collaborate with global teams, innovate, and drive shared 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.
- Strong commercial focus; solid data science background with experience in machine learning/statistics.
- Finance or commercial data science experience strongly preferred.
- Ability to partner with cross-functional stakeholders, including senior executives, to identify needs and drive adoption.
- Experience managing compliance adherence, risk management, and stakeholder commitments in large organizations.
Required Skills:
- Data pipelines, machine learning algorithms, statistics
Preferred Skills:
- ERP software, Finance, Global Finance, SAP Accounting
Benefits (as stated):
- Medical, dental, vision; life insurance; short- and long-term disability; business accident insurance; group legal insurance.
- Retirement plan (pension) and savings plan (401(k)).
- Long-term incentive program.
- Time off: vacation, sick time, holiday/floating holidays, work/personal/family time; parental leave; other specified leaves (condolence, caregiver, volunteer, military spouse time-off).
Other:
- Location: New Brunswick, NJ; up to 10% travel.
Application instructions:
- N/A (not provided in the job description text).
Purpose:
- Develop data science products, including advanced Generative AI models, delivering practical, high-impact solutions within Global Finance.
- Execute end-to-end Data Science/AI projects across Global Finance: prioritize use cases, design/PoC, develop, deploy, and drive adoption by end-users.
- Deliver predictive financial forecasting, descriptive analytics and data visualization, decision support, cognitive/Gen AI technologies, and data science technology platforms.
- Translate business needs into data science questions; investigate using analytics, machine learning, and AI.
- Partner with stakeholders (Finance Directors/CFO/Group Finance, Commercial leaders, Process Owners, Technology, Finance Systems & Data, Reporting, Compliance) to ensure adoption; ensure PoCs move into production with appropriate automation and systems integration.
You Will Be Responsible For:
- Develop data science solutions: business problem understanding, data processing, trend/pattern discovery, data visualization, insight generation, and communication to senior stakeholders.
- Employ Generative AI techniques to upgrade ML models into hybrid models using LLM summarization while reducing hallucinations.
- Ensure GenAI output adheres to rules and guidelines defined by legal, Compliance, and IT.
- Write production-level, scalable code in Python or R.
- Implement ML/statistical models for predictive/time series forecasting, decision support, GenAI, NLP, etc.
- Perform end-to-end project execution: data acquisition, preprocessing, modeling, visualization, and integration with end-user systems/processes.
- Build data processing and modeling pipelines for large finance/ERP datasets (e.g., SAP HANA).
- Present results and explain complex analysis clearly to senior leaders; use data visualization/dashboarding for interactive presentations.
- Deploy analytical models into production; manage version control and documentation.
- Automate data pipelines and orchestrate workflows.
- Advance robust data architecture and cloud-based technology stack for production work.
- Partner cross-functionally with Technology, Finance Systems & Data, Group Finance/CFOs, Compliance, Data Engineering, and other Data Scientists.
- Stay current on data science and AI trends, including Generative AI.
- Work effectively in a global, agile team across time zones; support collaboration and continuous innovation.
- Advocate and facilitate data-driven insights and data science methods across Global Finance.
Qualifications:
- 5+ years of relevant industry experience.
- Bachelor’s degree (preferred: Computer Science, Engineering, Data Science, Business Analytics, Science, Finance, or other quantitative/STEM). Master’s preferred.
- Ability to collaborate with global teams, innovate, and drive shared 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.
- Strong commercial focus; solid data science background with experience in machine learning/statistics.
- Finance or commercial data science experience strongly preferred.
- Ability to partner with cross-functional stakeholders, including senior executives, to identify needs and drive adoption.
- Experience managing compliance adherence, risk management, and stakeholder commitments in large organizations.
Required Skills:
- Data pipelines, machine learning algorithms, statistics
Preferred Skills:
- ERP software, Finance, Global Finance, SAP Accounting
Benefits (as stated):
- Medical, dental, vision; life insurance; short- and long-term disability; business accident insurance; group legal insurance.
- Retirement plan (pension) and savings plan (401(k)).
- Long-term incentive program.
- Time off: vacation, sick time, holiday/floating holidays, work/personal/family time; parental leave; other specified leaves (condolence, caregiver, volunteer, military spouse time-off).
Other:
- Location: New Brunswick, NJ; up to 10% travel.
Application instructions:
- N/A (not provided in the job description text).