Cleared Lead Data Scientist

Zachary Piper is seeking a Lead Data Scientist with 6+ years of experience to support AI/ML, advanced analytics, and data visualization initiatives. This role focuses on designing and implementing AI and analytics solutions to address complex business problems, working closely with stakeholders and cross-functional teams.

Responsibilities

Data Analytics & AI

• Define analytical requirements with stakeholders and deliver data-driven solutions.
• Design, develop, and maintain data models supporting AI/ML, generative AI, predictive analytics, and advanced analytics.
• Build and deploy AI/ML models and analytical solutions in production environments.
• Analyze structured and unstructured data using advanced statistical and analytical techniques.

Data Visualization & Reporting

• Develop dashboards and reports using Tableau and Power BI.
• Communicate analytical findings clearly to technical and non-technical audiences.
• Support executive-level reporting and decision-making.

Data Engineering & Automation

• Work with relational databases (Oracle, PostgreSQL, MySQL) to ensure data integrity and support analytics initiatives.
• Develop and maintain automated data pipelines and workflows using Python and SQL.
• Automate recurring data processes and reporting tasks.

Cloud & Platform Technologies

• Use AWS services (S3, EC2, RDS, Lambda) for data storage, processing, and analytics.
• Support cloud-based modernization of data and analytics workflows.

Collaboration & Communication

• Collaborate with engineers, analysts, and business stakeholders.
• Contribute to client-facing presentations and written deliverables.
• Translate business problems into structured analytical approaches and actionable insights.

Required Qualifications

• Bachelor's degree in Mathematics, Computer Science, Information Systems, or a related field.
• 6+ years of experience in data science, advanced analytics, and data visualization.
• Demonstrated experience delivering analytics and AI/ML solutions from concept through production.
• Advanced proficiency in Python for data analysis, automation, and scalable workflow development.
• Strong SQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL).
• Experience building and maintaining automated data pipelines and analytics workflows.
• Hands-on experience using AWS services such as S3, EC2, RDS, and Lambda.
• Proven ability to design and deliver dashboards and visualizations using Tableau and/or Power BI.
• Experience across the full analytics lifecycle, including problem definition, data acquisition, modeling, validation, deployment, and monitoring.
• Ability to work independently in ambiguous environments.
• Strong written and verbal communication skills.
• Experience with version control and software development best practices (e.g., Git, testing).

Compensation

· Compensation Range: $175,000 - $200,000

· Benefits: PTO, Paid Holidays, Medical, Dental, Vision, 401(k), Sick Leave (As required by law)

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Keywords:

Data Scientist, Senior Data Scientist, Applied Data Scientist, Artificial Intelligence, AI, Machine Learning, ML, Generative AI, Large Language Models, LLM, Advanced Analytics, Predictive Analytics, Data Science, Python, SQL, Data Modeling, Analytics Lifecycle, Data Pipelines, Data Automation, AWS, Amazon Web Services, S3, EC2, RDS, Lambda, Cloud Analytics, Data Visualization, Tableau, Power BI, Business Intelligence, BI, Relational Databases, Oracle, PostgreSQL, MySQL, Unstructured Data, Statistical Analysis, Analytics Deployment, Production Analytics, Git, Version Control, Dashboard Development, Executive Reporting