Today
Public Trust
Unspecified
Unspecified
IT - Data Science
Arlington, VA (On-Site/Office)
Zachary Piper Solutions is currently seeking a Remote Sr. Data Scientist who will support a government contract remote.
Responsibilities for the Sr. Data Scientist:
· Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.
· Guide customer teams through their initial onboarding milestones including access setup, cluster provisioning, pipeline usage, model experimentation, and promotion workflows.
· Serve as a technical point-of-contact for customer users during their onboarding phase, helping translate platform services into value for their specific use cases.
· Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
· Leverage MLflow for model versioning, experiment tracking, and lifecycle governance
· Integrate with CI/CD workflows (Bitbucket, Bamboo) and infrastructure services (S3, Lambda, RDS).
Qualifications for the Sr. Data Scientist:
· Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
· Significant experience in data science roles within cloud environments (preferably AWS).
· Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).
· Strong Python, SQL, R, and Spark proficiency.
· Experience working in regulated or government environments.
· Experience in customer-facing data science or platform enablement roles
Compensation for the Sr. Data Scientist:
#LI-SH2
Responsibilities for the Sr. Data Scientist:
· Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.
· Guide customer teams through their initial onboarding milestones including access setup, cluster provisioning, pipeline usage, model experimentation, and promotion workflows.
· Serve as a technical point-of-contact for customer users during their onboarding phase, helping translate platform services into value for their specific use cases.
· Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
· Leverage MLflow for model versioning, experiment tracking, and lifecycle governance
· Integrate with CI/CD workflows (Bitbucket, Bamboo) and infrastructure services (S3, Lambda, RDS).
Qualifications for the Sr. Data Scientist:
· Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
· Significant experience in data science roles within cloud environments (preferably AWS).
· Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).
· Strong Python, SQL, R, and Spark proficiency.
· Experience working in regulated or government environments.
· Experience in customer-facing data science or platform enablement roles
Compensation for the Sr. Data Scientist:
- $120,000 - $150,000 *Depending on Experience.
- Cigna Medical, dental, vision, Holidays, 401k, PTO and Sick leave as required by law
#LI-SH2
group id: 10430981
