Applied Scientist

Broad Responsibilities Include:

Lead advanced AI opportunities and advanced algorithm development

Collaborate with diverse teams to derive insights from data and support decision-making processes

Design and develop sophisticated data visualizations to support business reporting needs from stakeholders

Lead process improvement initiatives using a data driven approach, including workflow optimization and operational efficiency analysis

Transform business requirements into structured analytical approaches, ensuring alignment with stated business needs

Lead discovery workshops and requirements gathering sessions with stakeholders to understand their challenges

Communicate complex data insights in a clear and concise manner to both technical and non-technical stakeholders

Guide stakeholders in developing AI-driven strategies that align with strategic objectives and organizational goals

Collaborate with data owners, data stewards, IT colleagues, and other stakeholders to integrate AI solutions and advanced analytics reporting capabilities on our modern Microsoft data platform

Design, develop and implement advanced statistical models, machine learning algorithms to analyze data and derive actionable insights, and contribute to AI models initiatives to solve complex business problems

Conduct research and stay up-to-date with the latest advancements in generative AI language models, machine learning, technologies in data science, and latest advancements in advanced analytics

Collaborate with engineering, infrastructure, and security teams to integrate models and solutions into production environments

Ensure the scalability, reliability, and performance of AI solutions and advanced analytic reporting capabilities

Provide technical guidance and mentorship to colleagues in the AI and advanced analytics space, elevating the growth and maturation of Client's data science and AI capabilities

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