Data Scientist

Hiring :  W2 Candidates Only

🛂  Visa :  Open to any visa type with valid work authorization in the USA

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.
• 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 :