Senior Data Scientist: Remote AI & Cloud ML Leader

GovCIO; Charleston (WV); Remote; USD 185,000 - 205,000; Full time

Benefits offered by this job

EAP

Corporate Discounts

Learning & Certification

Job summary

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

The candidate will have a technical degree, strong Python and SQL skills, cloud platform experience (Databricks, Azure, AWS, GCP), and proficiency across the end-to-end data science workflow, with the ability to obtain a suitability/public trust

Qualifications

• Bachelor’s degree in a technical or related field.
• Proficient in Python and SQL for data analysis.
• 2+ years’ cloud platform experience (Databricks, Azure, AWS, GCP).
• Experience in end-to-end data science workflow and ML tooling.
• Familiarity with traditional ML toolboxes and LLMs workflow.

Responsibilities

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

Skills

Python

SQL

Data analysis

LLMs

Education

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

Tools

Databricks

Azure

AWS

GCP

Job description

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

The candidate will have a technical degree, strong Python and SQL skills, cloud platform experience (Databricks, Azure, AWS, GCP), and proficiency across the end-to-end data science workflow, with the ability to obtain a suitability/public trust