At Johnson & Johnson, the Senior Data Scientist: Forecasting, BI will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. They will work in a global team to advance the data science/AI roadmap for J&J’s Global Finance function, delivering value-added insights and analytics, reducing manual workload through automation, and enhancing user-experience. A key focus will be on Predictive Sales Forecasting as part of SAP Analytics Cloud reporting capability, taking it from PoC to Production-grade standards.
Requirements
- Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS, Azure, and Domino.
- Proficient in interpreting BI sources and understanding the impact of these on finance metrics.
- 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.
- Proficient in 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
- 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.
- The position will be located in New Brunswick, NJ and may require up to 10% travel.
- Advocate for data-driven insights and data science methods across the organization and managing compliance adherence.
- 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 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.
