Data Scientist II

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. This role builds and deploys predictive and LLM-based models using modern tools (CI/CD, Airflow), develops impactful insights through strong analytics and Power BI visualizations, and partners with stakeholders to identify high-value opportunities. The ideal candidate has strong analytical skills, a keen eye for data, and a passion for applying AI to real-world problems.

Key Objectives:

• Deliver measurable business impact using machine learning and GenAI/LLM-driven solutions.
• Improve operational performance through scalable, production-ready analytics.
• Develop and maintain a suite of Power BI reports and dashboards to enable informed, data-driven business decisions.
• Enable smarter decision-making through data storytelling and visualization.
• Identify and implement high-value GenAI use cases across the organization.
• Promote responsible and effective use of AI and advanced analytics.
• Mentor junior team members and help elevate overall team capabilities.

Essential Duties & Responsibilities:

• Analyze and integrate large, complex datasets from multiple sources, with cloud environments preferred.
• Design, build, and deploy machine learning models and LLM-powered solutions.
• Develop GenAI use cases such as text classification, embeddings, summarization, and decision-support tools.
• Productionize models using CI/CD pipelines and orchestrate workflows using Airflow DAGs.
• Monitor model performance, maintain documentation, and support governance, reliability, and ongoing model maintenance.
• Translate analytical findings into clear and actionable business insights for technical and non-technical audiences.
• Build dashboards and visualizations using Power BI to track KPIs, trends, and model outcomes.
• Partner with stakeholders to identify opportunities for advanced analytics and AI adoption.
• Apply strong data validation and quality checks to ensure data accuracy, completeness, and integrity.
• Support ethical AI practices, data privacy requirements, and governance standards.
• Mentor junior data scientists and contribute to team best practices and standards.

Required Skills:

• Strong proficiency in SQL and Python, or R.
• Hands-on experience developing and deploying machine learning models.
• Experience with Generative AI and LLMs, including prompting, embeddings, and NLP-related use cases.
• Experience with CI/CD pipelines, Airflow, and workflow orchestration.
• Strong experience with Power BI or similar data visualization tools.
• Excellent analytical and problem-solving skills with strong attention to detail.
• Strong data intuition and the ability to identify patterns, anomalies, and meaningful insights.
• Ability to communicate complex analytical and AI concepts clearly to technical and non-technical audiences.
• Experience with version control tools such as Git and collaborative development practices.
• Ability to work independently and effectively in ambiguous environments.

​Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience operationalizing LLM-based solutions in production environments.
• Familiarity with MLOps and model lifecycle management.
• Demonstrated passion for AI innovation and continuous learning.

Work Experience:

• 3+ years of experience in data science, advanced analytics, or a related field.
• Proven experience building and deploying machine learning solutions in production.
• Experience applying statistical analysis and predictive modeling.
• Exposure to or hands-on experience with GenAI and LLM applications is strongly preferred.

Education:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required.

Other:

• Must be able to travel occasionally should a business need arise. For most roles travel would not be common. Travel may involve plane, car or metro. In accordan