Location: Suitland, MD Hybrid
Proposal Opportunity: This position is being recruited in support of an active federal proposal. Employment is contingent upon contract award, final customer requirements, and position availability. Candidates selected during the proposal phase may be asked to provide an updated resume and other information required for proposal submission.
About the Role
Essnova Solutions is seeking experienced
Data Scientists and Data Architects to support a large-scale federal data and technology modernization initiative supporting the U.S. Census Bureau.
We are seeking senior professionals who can help modernize complex data environments, develop advanced analytics and AI/ML capabilities, and design scalable enterprise data platforms.
Opportunities are available for both
Lead Data Scientists and
Senior Data Architects, depending on experience and technical specialization.
What You'll Do
- Design and support modern enterprise data and analytics solutions.
- Work with large, complex datasets in enterprise environments.
- Support modernization of data platforms and architectures.
- Develop scalable approaches to data integration, analytics, and management.
- Collaborate with cloud, engineering, application, architecture, and program teams.
- Support advanced analytics and AI/ML initiatives.
- Develop technical documentation, architecture designs, analytical models, and recommendations.
- Support development of scalable data platforms and advanced analytical capabilities.
Work Location
This position supports the
U.S. Census Bureau Headquarters in Suitland, Maryland under a hybrid work model. Candidates must be located in the DC/MD/VA area or be willing to commute to Suitland.
These preserve the actual CenTAM experience/technology requirements while making the postings broad enough to capture candidates across the related LCATs.
RequirementsLead Data Scientist Qualifications
Candidates interested in the
Lead Data Scientist - SME opportunity must have:
- PhD - required
- 15+ years of relevant experience - required
- Senior/SME-level data science experience
- Advanced experience with:
- Machine Learning
- Deep Learning
- Advanced data analytics
Experience in the following areas is particularly valuable:
- Large Language Models (LLMs)
- MLOps
- LLMOps
- Large-scale data analytics
- Census data analytics
Please note: A PhD and 15+ years of relevant experience are mandatory requirements for the Lead Data Scientist opportunity.Senior Data Architect Qualifications
Candidates interested in the
Lead Data Architect - Senior opportunity should have:
- 10-14 years of relevant experience
- Senior-level enterprise data architecture experience
- Experience designing and supporting complex enterprise data environments
Experience in the following technologies and environments is particularly valuable:
- Enterprise Data Lakes
- Apache Iceberg
- Amazon Redshift
- Amazon Aurora
- PostgreSQL
- Oracle 19c/RAC
- Knowledge graphs
Preferred Qualifications - Data Architect
- Cloud Big Data certification
- Cloud Data Analytics certification
