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