Job Family:Data Science Consulting
Travel Required:Up to 10%
Clearance Required:Ability to Obtain Public Trust
What You Will Do:- Design and lead AI/ML and analytics solutions using best-in-class tools and platforms.
- Translate business challenges into actionable use cases and scalable data and AI products and services.
- Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP.
- Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes.
- Mentor and lead multidisciplinary teams including scientists, engineers, and consultants.
- Lead data warehouse and or lakehouse initiatives, including requirements definition, architecture, modeling, implementation, and production readiness.
- Design and implement scalable data warehouse patterns, including dimensional modeling (star/snowflake), curated data marts, semantic layers, and governed self-service analytics
- Direct development of ETL/ELT pipelines, orchestration, and automation using modern tooling and engineering practices
- Establish and mature data operationalization capabilities (e.g., performance tuning and cost optimization, release management and incident support processes, data quality rules and monitoring).
- Partner with client stakeholders to align warehousing work with data governance practices, access controls, and operational support models.
What You Will Need:- Bachelor's degree from an accredited college/university.
- Based on our contractual obligations, candidate must be located within the United States and US Citizen.
- Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST".
- Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations.
- Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models.
- Demonstrated experience leading data warehouse design and implementation, including data modeling, ingestion patterns, and production operations/
- Strong knowledge of data warehousing concepts (e.g., dimensional modeling, analytics-ready data structures, CDC patterns, performance tuning, and cost controls for cloud platforms).
- Experience defining and implementing operating models for data platforms, including support processes, SLAs, monitoring, and continuous improvement.
- The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence.
- Strong communication skills to bridge technical and business worlds.
- During peak periods, 50% travel to north east client site, ie. during requirements gathering, UAT, implementation/go live, etc.
What Would Be Nice To Have:- Experience with MLOps and CI/CD pipelines for AI/ML deployment.
- Experience implementing cloud data warehouse and lakehouse solutions using Snowflake and or Databricks, including security, governance, and performance optimization.
- Demonstrated work experience within the public sector.
- Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks.
- Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field.
- Experience with API development and integration for data services.
- Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics.
The annual salary range for this position is $141,000.00-$235,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Position may be eligible for a discretionary variable incentive bonus
- Parental Leave and Adoption Assistance
- 401(k) Retirement Plan
- Basic Life & Supplemental Life
- Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
- Short-Term & Long-Term Disability
- Student Loan PayDown
- Tuition Reimbursement, Personal Development & Learning Opportunities
- Skills Development & Certifications
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Emergency Back-Up Childcare Program
- Mobility Stipend
