SENIOR DATA SCIENTIST

Senior Data Scientist - Become part of a multicultural company that is constantly growing and has an excellent work environment certified by Great Place To Work! Project - the aim you'll have We're looking for a skilled Senior Data Scientist to join our team and work with one of our inspiring US clients. This suite of data-driven SaaS solutions is designed for the modern in-house marketer. Originating from a network of award-winning agencies, the platform empowers marketers to drive both business and brand impact by providing them with the tools they need to succeed. If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you! Expectations - the experience you need 5+ years of experience in Data Science, with a focus on building and integrating machine learning models and large language models. Proficient in data engineering and data architecture principles, with experience in predictive modeling and data integration. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Bachelor's degree in Computer Science, Data Science, or a related field. Experience in digital advertising, content optimization, and audience insights. Familiarity with MS Azure, Alteryx, Tableau, and Power BI for data processing and visualization. What you will do Ingest and integrate descriptive metadata from the creative production process, linking this data to platform-level media executions, covering themes, categories, content descriptors, creative types, sizes, and placement information. Ingest and integrate detailed ad server data to provide insights on content optimization, audience engagement, and placement effectiveness from media executions. Add a machine learning and large language model (ML / LLM) layer to offer deeper insights into data variables and elements driving media performance. Utilize MS Azure for a virtualized server environment, offering data storage, database server, and virtual desktop instances. Direct API access to a range of digital media and CRM platforms using Funnel. io and Airbyte. Employ Alteryx as the primary ETL tool for data flows, transformations, business rule enforcement, data standardization, and automation, including report automation and geocoding. Develop and manage structured data models and storage solutions using SQL Server. Create and execute predictive modeling data pipelines using Azure Machine Learning, MS Fabric, or similar analytics tools. Use Tableau and Power BI for reporting, analytics, and data visualizations. Support the expansion of the MS Azure environment to integrate the ML / LLM layer for new client requirements. Design data architecture and data models to support predictive modeling pipelines and effectively leverage existing data assets. Recommend and implement ML and LLM tools to meet specific application needs. Develop ML and LLM pipelines to meet analytical needs, defined through a discovery process. Establish pipeline monitoring to support a continuous integration and continuous delivery (CI / CD) environment. Our Benefits Educational resources. Flexible schedule and Work From Anywhere. Referral Program. Supportive and chill atmosphere. We are accepting applications from LATAM countries.