Overview
Skills
Job Details
Role: Lead Data Scientist/Artificial Intelligence Engineer with Agentic AI
Location: Richmond, VA LOCALS ONLY DL/StateID required
Schedule: Onsite - Once in Quarter anytime. Expenses are not reimbursed.
Interview Mode: Virtual
Duration: 12-month Contract + Extensions
JOB DESCRIPTION:
Onsite in Richmond, VA - Once in a Quarter anytime. Expenses are not reimbursed.
MUST have 10 years of experience LEADING a Data Science team, including an Agentic team as part of that 10 years (even though it's NOT on the Chart below they need it). Also hands on.******
Description:
Resource will need to be in Richmond, VA, quarterly.
The client s Information Technology Division is seeking a highly skilled Artificial Intelligence Engineer 4- Agentic Data Engineer to design, develop, train and deploy data models that leverage agentic AI that solve real-world problems.
Responsibilities:
- Gather business needs and translate them to analytics.
- Produce code that is clearly documented and maintain a version-control system.
- Develop machine learning models that will address business needs.
- Effectively communicate analytics results to a range of stakeholders.
Qualifications:
- Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
- Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
- 10+ years of leading data science projects or teams.
- Gathers business requirements needed for analytics.
- Experience mentoring or guiding junior team members.
- Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.
- Experience with Big Data frameworks like Spark/Databricks.
- Experience with code version-control systems such as Git.
- Degree in Computer Science, AI, Data Science, or a related field.
Required/Desired Skills
Skill | Required /Desired | Amount | of Experience |
Advanced proficiency in Python and/or R | Required | 10 | Years |
Knowledge of SQL Databases | Required | 10 | Years |
Experience with Spark, GraphDB, Azure Databricks | Required | 5 | Years |
Experience training LLMs with structured and unstructured data sets | Required | 4 | Years |
Experience with Machine Learning | Required | 4 | Years |
Experience with GIS spatial data | Required | 2 | Years |
Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics) | Nice to have | 0 |