Senior Data Scientist

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! 

• 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, link ing 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 eCectiveness from media executions.  
• Add a machine learning and large language model (ML/LLM) layer to oCer deeper insights into data variables and elements driving media performance. 
• Utilize MS Azure for a virtualized server environment, oCering 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 eCectively 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

Position at: Software Mind LATAM