Senior Data Scientist

Job Title: Sr. Data Scientist

Location: Remote

Company: Zachary Piper Solutions

Clearance Required: Public Trust

Full Job Description:

Zachary Piper Solutions is looking for an Senior Data Scientist to join a growing team in support of a government agency. This position will be fully remote.

Responsibilities/Overview:

• 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).

• Ensure transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards.

• Implement Responsible AI Toolboxes and support ethical governance of ML/LLM models.

• Collaborate with cross-functional platform teams (Infra, Trustworthy AI, CSx) to support onboarding and operationalization of AI/ML workloads.

Required Qualifications:

• Must be a US Citizen with the ability to obtain a Public Trust clearance

• 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.

Desired:

• AWS or ML-related certifications.

• Familiarity with government compliance and governance frameworks.

• Experience in customer-facing data science or platform enablement roles.

• Security Clearance desired

Compensation and Benefits:

·        $130,000 - $155,000+ Dependent on experience

·        Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave as required by law, and Holidays.

This job opens for applications on 7/16/25. Applications for this job will be accepted for at least 30 days from the posting date.