Lead Data Scientist / Data Architect

• 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.

Lead 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

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. Equal Employment Opportunity Essnova Solutions, Inc. is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Essnova Solutions is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and employment process. These preserve the actual CenTAM experience/technology requirements while making the postings broad enough to capture candidates across the related LCATs. Lead 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