Data Scientist II

The Data Scientist II will work independently to develop and deliver data science and AI solution components, analyzing complex data, developing predictive and prescriptive analytic solutions, and delivering actionable insights to support data-driven decision-making. This role will work across project workstreams, collaborating with multidisciplinary teams to develop innovative analytics, machine learning, and AI solutions that address complex business and operational challenges.

What You Will Do

Develop and deploy analytics, machine learning, and AI solutions, perform data acquisition and analysis, apply statistical methods and predictive modeling, and develop dashboards and visualizations to support accuracy, reliability, scalability, security, and production performance.

Why It Might Be a Fit

The ideal candidate will be comfortable working directly with clients, have strong communication and problem-solving skills, and be able to work independently, manage competing priorities, and deliver assigned work independently.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field
• Two to four years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments
• Strong proficiency in Python and SQL for data preparation, analytics, model development, testing, and deployment
• Experience developing and evaluating machine learning models, including feature engineering, train/validation/test design, performance assessment, and error analysis
• Working knowledge of NLP and modern AI concepts, including large language models, embeddings, RAG, prompt engineering, retrieval approaches, and output evaluation
• Experience creating dashboards or visual analytics using Power BI, Tableau, Python, or comparable tools
• Familiarity with API-based solutions and integration of data, machine learning, or AI services into broader applications or enterprise environments
• Ability to work across notebook-based, browser-based, and local development environments, learn unfamiliar technologies quickly, manage competing priorities, and deliver assigned work independently

Benefits

• Competitive compensation
• Bonus opportunities
• Employer-paid healthcare
• Professional development funding
• 401(k) match