Overview
Remote
On Site
Full Time
Skills
Workflow
Advanced Analytics
Collaboration
Continuous Improvement
Evaluation
Computer Science
Python
R
SQL
Data Science
Data Engineering
Modeling
Statistics
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Team Leadership
Mentorship
Management
Artificial Intelligence
Machine Learning (ML)
DICE
Job Details
Data Scientist
Overview
We are seeking a Data Scientist to support a client's delivery platform and AI integration initiatives. This role will own the design and development of evaluation pipelines for applied AI services, delivering scalable, production-ready data science solutions across agentic workflows.
Responsibilities
Commitment: Full-time
#LI-JL1
#DICE
#Remote
Overview
We are seeking a Data Scientist to support a client's delivery platform and AI integration initiatives. This role will own the design and development of evaluation pipelines for applied AI services, delivering scalable, production-ready data science solutions across agentic workflows.
Responsibilities
- Build evaluation pipelines for AI/ML solutions supporting agentic services
- Design and implement models for data engineering, advanced analytics, and machine learning
- Apply expertise in Python, R, and SQL to deliver high-quality, enterprise-grade solutions
- Collaborate with full stack engineers and architects to integrate models into enterprise platforms
- Lead technical discussions and present recommendations to executive stakeholders
- Contribute to continuous improvement of evaluation frameworks and methodologies
- 10+ years of professional experience in computer science, data science, or related technical fields
- Proven expertise in Python, R, and SQL, with demonstrated delivery of scalable data science solutions
- Strong foundation in data engineering, feature engineering, modeling, and statistical analysis
- Experience with modern cloud platforms (Azure, AWS, or Google Cloud Platform) and production deployment of ML models
- Track record of leading teams, mentoring junior talent, and managing executive stakeholders
- Ability to design and deliver AI/ML pipelines in complex enterprise environments
Commitment: Full-time
#LI-JL1
#DICE
#Remote
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