Lead Applied Data Scientist - AI/ML Solutions Architect
linkedinNew York, NY
$50.00/hr
APPLY (opens in a new tab)Lead Applied Data Scientist - AI/ML Solutions Architect
linkedinNew York, NYLead L6
$50.00/hr
Other Scientific and Technical Consulting ServicesComputer Systems Design ServicesAll Other Professional, Scientific, and Technical Services
APPLY NOW (opens in a new tab)Job Title: Lead Applied Data Scientist - AI/ML Solutions Architect
Location: New York, NY
Work Arrangement: Onsite
Employment Type: Contract
Duration: 12 months
Domain: Technology / Enterprise AI & Data Analytics
Pay Rate:
$50.00/hr W2 | $60.00/hr C2CApplication Deadline: Oct 29th 2026SKILLS REQUIREDPrimary (Must-Have):Python or RMachine Learning (scikit-learn, TensorFlow, PyTorch) Statistical Modeling & Predictive Analytics Model Deployment & Production Integration Feature Engineering & Data Mining Secondary (Good to Have):Generative AI & Large Language Models (LLMs) Azure | Databricks | PySpark | Synapse | Lakehouse ArchitecturesMLOps | Model Monitoring | Containerization (Docker, Kubernetes) Agile Cross-Functional DeliveryPOSITION OVERVIEWSeeking 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 Language 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. DISCLAIMERAI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
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