Remote Senior Data Scientist — AI/Cloud ML

GovCIO; Harrisburg (Dauphin County); Remote; USD 185,000 - 205,000; Full time

Benefits offered by this job

EAP

Corporate Discounts

Learning & Development platform

Certification Assistance

Referral Bonus Program

Internal Mobility Program

Pet Insurance

Flexible Work Environment

Job summary

GovCIO is seeking a Data Scientist to support VA data modernization. This role is fully remote within the United States and will focus on building data products, migrating workloads to the cloud, and advancing AI adoption to improve outcomes.

You will collaborate with clients, develop ML solutions, and provide tutorials and training to enable cloud tool adoption. A standalone technical execution environment and strong communication will be essential.

Qualifications

• Bachelor’s degree in Engineering, CS, Systems, Business or related field; +15 years experience (or commensurate).
• Proficient in Python and advanced SQL for data analysis.
• 2+ years’ experience on leading cloud platforms such as Databricks, Azure, AWS, and GCP; ML tooling experience.

Responsibilities

• Consult with internal clients and build data products/workflows to support operations.
• Migrate and modernize workloads from legacy environments to the cloud for improvements.
• Spearhead AI adoption with clients to drive business outcomes.
• Create reference use cases with tutorials, reference code, and training for cloud tooling adoption.
• Host office hours to upskill clients.
• Develop, train, and deploy machine learning to solve complex business problems.

Skills

Python

SQL

LLMs

AI workflows

Cloud platforms

Data visualization

Education

Bachelor's degree

Tools

Databricks

Azure

AWS

GCP

NumPy

SciPy

MLFlow

Job description

GovCIO is seeking a Data Scientist to support VA data modernization. This role is fully remote within the United States and will focus on building data products, migrating workloads to the cloud, and advancing AI adoption to improve outcomes.

You will collaborate with clients, develop ML solutions, and provide tutorials and training to enable cloud tool adoption. A standalone technical execution environment and strong communication will be essential.