Johnson & Johnson's Global Finance function seeks to advance its data science/AI roadmap by delivering data science production processes to a high standard, contributing to products consumed by senior leadership. The goal is to provide value-added insights and analytics, reduce manual workload through automation, and enhance user experience.
Requirements
- Experienced using accounting data within SAP data tables, understanding the contents of tables and how they are used within the accounting process.
- Knowledge of Python programming and Data Science Cloud platforms like AWS, Databricks, and Domino.
- Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way.
- Skilled in data visualization and dashboarding using Tableau or PowerBI.
- Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests.
- Experience of end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule.
- Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence.
Responsibilities
- Develop data science solutions based on the needs of business/ finance stakeholders.
- Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes.
- Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models.
- Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team.
- Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders.
- Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models.
- Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end- to- end solutions, ensuring compliance and risk management.
Other
- Minimum of 5 years of Data Science/ AI experience in an industry setting, preferably in a Finance or Healthcare setting.
- Alternatively: 5+ years accounting experience with intensive use advanced analytics and data handling techniques.
- Located in New Brunswick, NJ with up to 5% travel.
- Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers.
- Minimum of Bachelors degree required, within Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master’s degree in a relevant field preferred.
