Entry Level Data Scientist Machine Learning Jobs in Kentucky

WHAT IS INFORMATION TECHNOLOGY?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

• Position(s) are to be filled in following area(s): Information Technology.

• Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: 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. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
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.
AND
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. Specialized experience for this position includes:

• 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.

AND
You must also meet the following requirement(s):

• 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 (or if this is an open continuous announcement, by the cut-off 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, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
• 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. 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. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education: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. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN 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. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER