Note: The job is a remote job and is open to candidates in USA. USAJOBS is a platform under the Internal Revenue Service that connects job seekers with federal employment opportunities. They are seeking a Lead Data Scientist to lead advanced analytics projects, manage team operations, and collaborate with various stakeholders to enhance data-driven decision-making processes.
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
- Participates in defining project objectives for advanced analytics, supervised and unsupervised machine learning (ML), and AI solutions. Collaborates with business units to gather requirements, establish metrics, and outline expected outcomes. Develops innovative approaches and methodologies, applying advanced operations research and data science techniques such as statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization. Validates methodologies and outcomes to ensure accuracy and alignment with objectives
- Identifies and implements methods, processes, algorithms, tools, and systems to extract insights from structured and unstructured data sets across the data science lifecycle. Responsible for developing algorithms and tools for data manipulation and processing and using data visualization techniques to clearly articulate findings for stakeholders
Skills
- U.S Citizenship - Must be a U.S. Citizen or National and provide proof of U.S. Citizenship
- Selective Service Registration - 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
- Personal Identity Verification (PIV) - Must provide 2 forms of identification from the Form I-9
- Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service
- To qualify for this position, you must meet the qualification requirements outlined below
- BASIC REQUIREMENTS All GRADES: Applicants must have Information Technology related experience demonstrating each of the following four competencies: 1) Attention to Detail, 2) Customer Service, 3) Oral Communication, and 4) Problem Solving
- Minimum requirements for Grade 12 and up (GS or Equivalent): Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Team Work and 9) Technical Competence
- EDUCATION: A degree in mathematics, statistics, computer science, data science, or field directly related to the position
- COMBINATION OF EDUCATION AND EXPERIENCE: 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
- SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service
- Experience designing, developing, deploying, and supporting Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and advanced analytics solutions in production environments
- Experience applying statistical analysis, hypothesis testing, experimental design, predictive modeling, model evaluation, and data science techniques to solve business problems and support data-driven decision making
- Experience developing, validating, deploying, monitoring, and continuously improving machine learning and AI models, including model performance evaluation, explainability, governance, and responsible AI practices
- Experience working with large-scale structured and unstructured data using cloud platforms, distributed computing environments, and big data technologies such as Databricks, Apache Spark, Azure, AWS, Google Cloud Platform (GCP), or similar technologies
- Experience designing and optimizing Natural Language Processing (NLP), Large Language Model (LLM), prompt engineering, retrieval-augmented generation (RAG), intent classification, and conversational AI solutions
- Experience integrating AI, analytics, and enterprise applications, APIs, databases, cloud services, authentication systems, and knowledge management solutions
- Experience developing and maintaining data pipelines, data processing frameworks, and cloud-based analytics solutions to support AI model development, operational reporting, and business intelligence initiatives
- Experience analyzing customer interactions, operational data, performance metrics, and user behavior to identify trends, improve AI effectiveness, enhance customer experience, and optimize business operations
- Experience applying data governance, data quality, privacy, security, compliance, and responsible AI principles throughout the data and analytics lifecycle
- Experience using programming languages such as Python, Java, SQL, Scala, or similar technologies to develop applications, automation solutions, data pipelines, APIs, and AI-enabled services
- Experience applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile development practices to support reliable and secure deployment of AI and analytics solutions
- Experience developing dashboards, reports, data visualizations, and performance metrics that communicate analytical findings and support executive and operational decision making
- Experience translating business, program, and operational requirements into technical solutions and actionable recommendations while collaborating with stakeholders, engineers, data scientists, architects, cybersecurity teams, and leadership
- PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration
- TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date specified in this job announcement, 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
- TIME IN GRADE (TIG): 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
Benefits
- General Schedule (GS) Locality Pay tables may be found under Salaries & Wages.
- Cost-of-Living Allowances (COLA): Puerto Rico includes COLA.
- 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.
- You are encouraged to actively engage with your supervisor, seek feedback, and understand role expectations. Additional guidance and support will be provided during onboarding.
- Reasonable Accommodation (RA) provided to applicants with disabilities on a case-by-case basis.
- USA Hire Assessment Reasonable Accommodation (RA) Requests will be granted for those with disabilities interfering with completing assessments.
- If you are selected, various checks will be conducted after acceptance of a tentative job offer including Prior Employment Check, Tax Compliance Check, FBI Fingerprint Check/Background Investigation, and eVerify.
- You will be enrolled into Continuous Vetting and FBI's Rap Back service for ongoing personnel vetting.
- Official transcripts will be required if you are selected for positions with an education requirement.
- Veteran or qualifying family members must submit specific documentation for preference eligibility.
- Career Transition Assistance Plan (CTAP) or Interagency Career Transition Assistance Plan (ICTAP) selection priority program for displaced or surplus federal employees.
- IRS Reassignment Preference Program (RPP) if applicable.
- Schedule A Appointing Authority for People with Certain Disabilities eligibility.
- Paid federal employment with benefits consistent with federal employment (implied by federal job and GS pay scale).
Company Overview