Job Description

Purpose:

As a Data Scientist in Global Finance Data Science Team: You will be responsible for developing data science products, including the application of advanced Generative AI models, delivering practical, high-impact solutions within Global Finance. You will work alongside a global team of Data Scientists, Data Engineers, Finance Analysts and Machine Learning Engineers to advance data science and AI roadmap for J&J’s Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience.

You will help to execute the Data Science/ AI projects for Global Finance function. You will need to have a breadth of skills and knowledge to handle the challenges of translating key business needs into meaningful data science questions and investigating those questions using relevant data analytics and machine learning/ AI techniques.

You will be responsible for data science projects across their lifecycle: Prioritization of use-cases, design/ proof-of-concept (PoC), development, deployment, and adoption by end-users. The capabilities developed will include predictive financial forecasting, descriptive analytics and data visualization, decision support, cognitive/ Gen AI technologies, and data science technology platform. You will need to connect with different stakeholders to ensure the solutions meet the business and end-user needs and are widely adopted. This includes partnering with Finance Directors, CFOs and Group Finance, Commercial leaders, Process Owners, Technology, Finance Systems & Data, Reporting and Compliance teams. You will need to ensure that PoC’s are put into production with correct amount of automation and systems integration. This role will involve understanding the needs of business stakeholders and advocating the merits of Data Science/ Data-driven Analytics to provide viable solutions.

You will be responsible for:

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.

Ensure that all GEN AI output adheres to rules and guidelines defined by legal, Compliance and IT.

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.

Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations.

Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation.

Automation of data pipelines and orchestration of workflows.

Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.

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.

Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI.

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.

Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization.

Understanding J&Js business as well as Global Finance function to better apply Data Science solutions.

Qualifications / Requirements:

Qualifications:

Minimum of 5 years of relevant experience in an industry setting is required

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 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.

Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions.

Experience in managing compliance adherence, risk management and stakeholder commitments in large organizations

Other:

The position will be located in New Brunswick, NJ and may require up to 10% travel