Job description

## Qualifications - 5+ years of experience in data analysis, statistical modeling, and machine learning and/or AI technologies with demonstrated success in delivering end-to-end solutions - Proficiency in data analysis, visualization, statistical modeling, machine learning, systems thinking, and optimization in programming languages such as Python, R, Java, and SQL - Hands-on experience developing models using a broad range of methods (machine learning, GenAI, neural networks, deep learning frameworks), using scientific processes and applying custom algorithms to solve business problems - Experience with cloud platforms and data analytics tools, including but not limited to Power BI, Spark Notebooks, PySpark, Azure Synapse, Microsoft OpenAI, Copilot, and Azure Data Factory - Experience with data governance frameworks and security principles, including compliance with regulatory requirements - Demonstrated understanding of generative AI solution concepts, such as Retrieval Augmented Generation (RAG), fine-tuning, and agentic workflows - Excellence in business communication and presentation skills - Strong problem-solving skills, critical thinking abilities, and a passion for driving innovation and continuous improvement through data - Proficient with standard office tools; Word, Excel, PowerPoint - A collegial team player possessing intellectual curiosity and sound judgment - Constructive, can do attitude committed to consistently doing what is best for the organization - Servant leader who is willing to teach and mentor colleagues - Unquestioned honesty, integrity, and transparency ## Full Description Position: Applied Science Location: Austin, TX (Hybrid 3 days in the office and 2 days remote work) Type: Fulltime Requirements: • 5+ years of experience in data analysis, statistical modeling, and machine learning and/or AI technologies with demonstrated success in delivering end-to-end solutions • Proficiency in data analysis, visualization, statistical modeling, machine learning, systems thinking, and optimization in programming languages such as Python, R, Java, and SQL • Hands-on experience developing models using a broad range of methods (machine learning, GenAI, neural networks, deep learning frameworks), using scientific processes and applying custom algorithms to solve business problems • Experience with cloud platforms and data analytics tools, including but not limited to Power BI, Spark Notebooks, PySpark, Azure Synapse, Microsoft OpenAI, Copilot, and Azure Data Factory • Experience with data governance frameworks and security principles, including compliance with regulatory requirements • Demonstrated understanding of generative AI solution concepts, such as Retrieval Augmented Generation (RAG), fine-tuning, and agentic workflows • Excellence in business communication and presentation skills • Strong problem-solving skills, critical thinking abilities, and a passion for driving innovation and continuous improvement through data • Proficient with standard office tools; Word, Excel, PowerPoint • A collegial team player possessing intellectual curiosity and sound judgment • Constructive, can do attitude committed to consistently doing what is best for the organization • Servant leader who is willing to teach and mentor colleagues • Unquestioned honesty, integrity, and transparency

Requirements