Note: The job is a remote job and is open to candidates in USA. USAJOBS is seeking a Lead Data Scientist in the area of Artificial Intelligence and Machine Learning. The role involves leading advanced analytics projects, collaborating with various stakeholders, and applying advanced knowledge to enhance customer strategies and improve user experiences.
Responsibilities
- Serves as a Senior Data Scientist by leading advanced analytics projects, defining objectives, coordinating deliverables, evaluating team performance, and resolving challenges to ensure project success. Manages day to day team operations, and driven outcomes aligned with the organization's goals. Responsibilities include obtaining approvals on project documentation, conducting code and model reviews, and ensuring project delivery acceptance. Communicates findings effectively, providing insights and training on complex analytics solutions to business partners at all levels
- Collaborates with senior leaders, technical teams, and non-technical staff to address policy interpretations and translate technical challenges into actionable solutions. Champions IT's digital transformation with a focus on customer-centric, data-driven initiatives, ensuring the analytics environment evolves to meet business needs. Leads efforts to certify datasets, optimize processes for data extraction, transformation, governance, and cataloguing, and accelerate time-to-insights for business decision-making
- Applies advanced knowledge of computer science, mathematics, and statistical theories to construct new analytical processes, interpret models, and report quantitative trends and relationships. Leads digital data and analysis efforts to enhance customer strategies, support platform development, and improve user experiences throughout the customer lifecycle. Ensures reports, analyses, visualizations, and dashboards accurately reflect critical information for digital services
- Collaborates closely with managers and executives to advance IT analytics roadmaps, delivering enhanced data capabilities that support strategic business objectives
Skills
- A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education
- Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program
- You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position
- A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience
- One (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service
- Designing, developing, integrating, testing, and supporting conversational AI solutions, virtual assistants, chatbots, digital messaging platforms, voice automation, interactive voice response (IVR) platforms, or generative AI-enabled customer engagement solutions in a production environment
- Developing and optimizing natural language understanding (NLU), natural language processing (NLP), speech recognition, intent classification, entity recognition, conversational workflows, or automated self-service solutions supporting customer interactions across voice and digital channels
- Designing, testing, implementing, and refining prompt engineering strategies, generative AI workflows, large language model (LLM) integrations, and AI-assisted customer engagement capabilities to improve automation, containment, customer experience, and operational outcomes
- Integrating conversational AI, generative AI, voice, chat, messaging, or digital engagement platforms with enterprise applications, APIs, backend systems, authentication services, customer data platforms, or knowledge management solutions
- Demonstrating subject matter expert (SME)-level proficiency in at least one modern programming language such as Java or Python, including development of backend services, automation, integrations, data processing pipelines, or conversational application logic
- Analyzing customer interaction data, conversation transcripts, chat sessions, operational metrics, and user behavior to identify trends, improve AI performance, evaluate model effectiveness, and enhance customer experience outcomes
- Developing, querying, and analyzing large datasets using cloud-based analytics platforms and data warehouses to support AI model evaluation, operational reporting, and business decision-making
- Troubleshooting and resolving complex system integration, application reliability, authentication, speech processing, conversational AI, generative AI, digital engagement, or performance issues across interconnected platforms
- Applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile software development practices in enterprise environments
- Collaborating with business stakeholders, architects, engineers, cybersecurity personnel, data scientists, and operations teams to translate business requirements into AI-enabled technical solutions
- Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration
- By the closing date, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate
- Federal employees must meet time-in-grade requirements. For positions above the GS-05, applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for
- Must be a U.S. Citizen or National and provide proof of U.S. Citizenship
- Males born after December 31, 1959 are required to be registered with the Selective Service System or prove they are exempt from having to do so
- Must provide 2 forms of identification from the Form I-9
Benefits
- Alternative work schedule, staggered work hours may be available.
- Formal Development Plan - If this position is covered by a formal development plan, pay retention will be offered where applicable based on law and regulation.
- Probationary Period - All newly appointed employees to the competitive (or excepted) service are subject to a probationary (or trial) period.
- Government Credit Card - Obtain and use a Government-issued charge card for business-related travel.
Company Overview