Senior data scientist állások, munkák

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Support the product team in maximizing product value by ensuring solutions are developed according to validated business requirements.
• Gather, analyze, and document business requirements through collaboration with stakeholders and subject matter experts.

• Managing the project lifecycle delivery of Sustainability & Climate Corporate Solutions for the Corporates client segment
• Serving as the dedicated client liaison during each project engagement

• At least 3-5+ years of overall experience in pricing or strategy function, management consulting, or an analytically-driven role. 
• Experience in travel, e-commerce, or online marketing is a plus. 
• Proficient in MS Excel/PowerPoint. 

• Proficient in MS Excel/PowerPoint.   
• Additional technical skills a plus: PowerBI, SQL, etc. 
• Excellent analytical and problem solving skills 
• Bachelor’s or Master’s degree in business, economics, engineering, sciences or other analytical field. 

• Apply your expertise in corporate treasury operations, systems, policies, and procedures to help build and operate a standalone Castrol treasury function from the ground up.
• Ensure seamless liquidity across the group by completing authorized subsidiary payments accurately and on time.

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• You select and adapt base models for voice assistant and intelligence tasks.
• Furthermore, you produce clean, reproducible training, finetuning and evaluation pipelines to refine models for the problem at hand.

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• Processing vendor master data requests in a timely and accurate process manner
• Managing relationships with internal business partners to ensure data requests are complete and comply with standards

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Support Snowflake-to-Databricks data migration activities
• Design and implement scalable data pipelines in Snowflake and Databricks
• Develop data ingestion and transformation processes from various sources
• Migrate and optimize existing data workflows, ETL processes, and transformation logic