Johnson & Johnson's Global Finance Data Science Team is looking to develop data science products, including the application of advanced Generative AI models, to deliver practical, high-impact solutions within Global Finance. The goal is to advance the data science and AI roadmap, deliver value-added insights and analytics, reduce manual workload through automation, and enhance user-experience.
Requirements
- Minimum of 5 years of relevant experience in an industry setting is required
- Ability to work and collaborate with a global team, innovate, and drive for common goals and achievements.
- Experience of 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.
- Must have a strong Commercial focus, a solid background in Data Science and experience with Machine Learning/ Statistics.
- Data science experience in a Finance or Commercial setting is strongly preferred.
- Experience in managing compliance adherence, risk management and stakeholder commitments in large organizations
Responsibilities
- Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders.
- Employ Generative AI techniques and approaches to upgrade Machine Learning models into hybrid models, taking advantage of LLM’s capacity to summarize, whilst seeking to reduce their capacity to hallucinate.
- Write production-level and scalable code in Python or R programming languages
- Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc.
- 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.
- Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA.
- Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation.
Other
- Minimum of a Bachelors degree is required, preferably in Computer Science, Engineering, Data Science, Business Analytics, Science, Finance or any quantitative or STEM discipline, Engineering or any other quantitative or STEM discipline. Master’s degree in a relevant field is preferred
- Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions.
- The position will be located in New Brunswick, NJ and may require up to 10% travel
- Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members.
- Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.
