Lead Applied Data Scientist - AI/ML Solutions Architect
Job Description
Job Title: Lead Applied Data Scientist - AI/ML Solutions Architect
\n
Location: Mason, OH
\n
Work Arrangement: Onsite
\n
Employment Type: Contract
\n
Duration: 12 months
\n
Domain: Technology / Enterprise AI & Data Analytics
\n
Pay Rate: $50.00/hr W2 | $60.00/hr C2C
\n
Application Deadline: Oct 29th 2026
\n
\n
SKILLS REQUIRED
\n
Primary (Must-Have):
\n
• Python or R
\n
• Machine Learning (scikit-learn, TensorFlow, PyTorch)
\n
• Statistical Modeling & Predictive Analytics
\n
• Model Deployment & Production Integration
\n
• Feature Engineering & Data Mining
\n
\n
Secondary (Good to Have):
\n
• Generative AI & Large Language Models (LLMs)
\n
• Azure | Databricks | PySpark | Synapse | Lakehouse Architectures
\n
• MLOps | Model Monitoring | Containerization (Docker, Kubernetes)
\n
• Agile Cross-Functional Delivery
\n
\n
POSITION OVERVIEW
\n
Seeking a hands-on Applied Data Scientist to lead the design, development, and production deployment of scalable AI/ML solutions. Reporting to the Enterprise Analytics & Technology Leadership team, the consultant will solve complex business challenges by bridging business requirements with data engineering infrastructure to deliver production-ready machine learning models and generative AI prototypes.
\n
\n
ROLES & RESPONSIBILITIES
\n
• Partner with cross-functional business and technical stakeholders to define key operational challenges and architect targeted AI/ML solutions.
\n
• Perform exploratory data analysis, feature engineering, and predictive statistical modeling to establish baseline performance.
\n
• Design, build, validate, and deploy scalable machine learning models into production cloud environments.
\n
• Research and prototype emerging technologies, including Generative AI and Large Language Models (LLMs), to build rapid proof-of-concepts.
\n
• Oversee continuous MLOps practices, model performance monitoring, feature drift validation, and iterative retraining schedules.
\n
\n
BENEFITS
\n
Medical | Dental | Vision | 401(k)
\n
\n
EEOC Compliance:
\n
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
\n
\n
DISCLAIMER
\n
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.