Lead Applied Data Scientist - AI/ML Solutions Architect in Mason

Energy Jobline ZR; Mason (OH); On-site; USD 69,000 - 83,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

Job summary

Energy Jobline ZR seeks a hands-on Lead Applied Data Scientist to design, develop, and deploy scalable AI/ML solutions in Mason, OH. This onsite contract role focuses on production-ready models and generative AI prototypes, reporting to the Enterprise Analytics & Technology Leadership team.

You bridge business requirements with data engineering, perform feature engineering, and drive model validation, monitoring and continuous improvement in cloud environments.

Qualifications

• Must have experience with Python or R and ML workflows.
• Strong background in statistical modeling and predictive analytics.
• Hands-on experience deploying models to production and integrating with data pipelines.

Responsibilities

• Partner with cross-functional stakeholders to define operational AI/ML challenges.
• Perform exploratory data analysis, feature engineering and predictive modeling for baselines.
• Design, build, validate and deploy scalable ML models in production cloud environments.
• Prototype generative AI and large models for rapid proofs-of-concepts.
• Oversee MLOps practices, model monitoring and retraining schedules.

Skills

Python or R

ML frameworks

Statistical Modeling

Model Deployment

Feature Engineering

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Job Description

Job Title: Lead Applied Data Scientist - AI/ML Solutions Architect

Location: Mason, OH

Work Arrangement: Onsite

Employment Type: Contract

Duration: 12 months

Domain: Technology / Enterprise AI & Data Analytics

Pay Rate: $50.00/hr W2 | $60.00/hr C2C

Application Deadline: Oct 29th 2026

SKILLS REQUIRED

Primary (Must-Have):

• Python or R
• Machine Learning (scikit-learn, TensorFlow, PyTorch)
• Statistical Modeling & Predictive Analytics
• Model Deployment & Production Integration
• Feature Engineering & Data Mining

Secondary (Good to Have):

• Generative AI & Large Models (LLMs)
• Azure | Databricks | PySpark | Synapse | Lakehouse Architectures
• MLOps | Model Monitoring | Containerization (Docker, Kubernetes)
• Agile Cross-Functional Delivery

POSITION OVERVIEW

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.

ROLES & RESPONSIBILITIES

• Partner with cross-functional business and technical stakeholders to define key operational challenges and architect targeted AI/ML solutions.
• Perform exploratory data analysis, feature engineering, and predictive statistical modeling to establish baseline performance.
• Design, build, validate, and deploy scalable machine learning models into production cloud environments.
• Research and prototype emerging technologies, including Generative AI and Large Models (LLMs), to build rapid proof-of-concepts.
• Oversee continuous MLOps practices, model performance monitoring, feature drift validation, and iterative retraining schedules.

BENEFITS

• Medical | Dental | Vision | 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

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.