Lead Data Scientist/Artificial Intelligence Engineer with Agentic AI

Overview

Hybrid
Up to $90
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
10% Travel

Skills

Analytics
Apache Spark
Artificial Intelligence
Big Data
Computer Science
Data Science
Databricks
Evaluation
Geographic Information System
Git
Graph Databases
Machine Learning (ML)
Management
Mentorship
Microsoft Azure
NATURAL
Publications
Python
Research
SQL
Science
Statistics
Training
Unstructured Data
Unsupervised Learning
Version Control

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
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