Base: $147,000 to $169,050 usd; bonus/equity: not ...
On-site
Generative ai models
Python or r programming
Machine learning and statistics
Johnson & Johnson is seeking a Senior Data Scientist specializing in Generative AI to join their Innovative Medicine team in New Brunswick, NJ. The role involves developing data science solutions and Generative AI applications to enhance the Global Finance function, focusing on delivering high-impact insights and automating processes
Job Summary
Develop data science products, including the application of advanced Generative AI models, delivering practical, high-impact solutions within Global Finance.
Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modelling, visualization and full integration with end-user systems and processes.
Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Senior Data Scientist specializing in Generative AI to join their Innovative Medicine team in New Brunswick, NJ. The role involves developing data science solutions and Generative AI applications to enhance the Global Finance function, focusing on delivering high-impact insights and automating processes.
Salary
Base: $147,000 to $169,050 USD; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life insurance, disability, retirement plan, 401(k), long-term incentive program, vacation, sick time, holiday pay, work/personal/family time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time-off
Skills & Requirements
Must-have
Generative AI models
Python or R programming
Machine learning and statistics
Data processing and modeling pipelines
Data visualization and presentation
Nice-to-have
Finance or Commercial setting experience
Agile methodology
Continuous innovation and teamwork
Key Requirements
Minimum of 5 years of relevant experience
Bachelors degree required
Experience executing Data Science projects from initiation through PoC to Production
Knowledge of Big Data, Data Pipelining, Machine Learning
Intermediate level of Software Development and Automation skills