At Johnson & Johnson, the business problem is to deliver data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership, and to advance data science/AI roadmap for J&J’s Global Finance function.
Requirements
- Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS, Azure, and Domino
- Experienced using finance data and SAP HANA data tables is an advantage
- Proficient in interpreting BI sources and understanding the impact of these on finance metrics
- 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
- Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow
- Experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule
Responsibilities
- Adopting a highly successful forecasting process and technologies to deliver a monthly sales financial forecast for consumption by senior leaders
- Assessing BI sources to understand the impact of future events on forecast accuracy, developing judgement on how to adjust forecasts
- Adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes
- 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 is required, preferably in a Finance or Healthcare setting
- Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline
- Master’s degree in a relevant field is preferred
- Up to 10% travel may be required
- 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
