Remote Senior Data Scientist — Cloud AI & ML

GovCIO; Concord (NH); Remote; USD 185,000 - 205,000; Full time

Benefits offered by this job

Employee Assistance Program (EAP)

Corporate Discounts

Learning & Development platform

Training, Education and Certification

Referral Bonus Program

Internal Mobility Program

Pet Insurance

Flexible Work Environment

Job summary

GovCIO is seeking a Data Scientist to support the VA data modernization initiative. The role is fully remote and located within the United States.

The successful candidate will consult with internal clients, migrate workloads to the cloud, and develop ML solutions using Python, SQL, and leading cloud platforms. You will also create reference use cases and host office hours to upskill clients.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Systems, Business or related scientific/technical discipline.
• Proficient in Python and advanced SQL for data analysis.
• 2+ years’ experience on leading cloud platforms such as Databricks, Azure, AWS, and GCP.
• Experience in end-to-end data science workflow from data extraction to production.
• Knowledge of ML toolboxes and LLMs/AI workflows.
• Need ability to obtain suitability/public trust clearance.

Responsibilities

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

Skills

Python

SQL

Cloud platforms

ML/AI workflows

LLMs

Education

Bachelor's degree in Engineering, Computer Science, Systems, Business or related

Tools

NumPy

SciPy

MLFlow

Job description

GovCIO is seeking a Data Scientist to support the VA data modernization initiative. The role is fully remote and located within the United States.

The successful candidate will consult with internal clients, migrate workloads to the cloud, and develop ML solutions using Python, SQL, and leading cloud platforms. You will also create reference use cases and host office hours to upskill clients.