Data Scientist 1 Location: Des Moines United States Salary $79,601.60 - $122,428.80 Annually Location Des Moines - 50319 - Polk County, IA Job Type Full-time Job Number 26-03360 Agency 625 Iowa Department of Revenue Division Internal Services Division Job Description: The Iowa Department of Revenue's Internal Services Division is seeking a Data Scientist 1 to join the Data Analytics Bureau. The Internal Services Division plays a crucial role in ensuring the Department's day-to-day operations run smoothly, efficiently, and effectively. Its responsibilities span many areas, from the safeguarding of confidential taxpayer data, management of the GovConnectIowa Program, integration of technology solutions with business objectives, human resources, data analytics, and business continuity activities. The dedicated staff of this division focus on elevating both the internal and external customer experience. Throughout the year, the division coordinates education and outreach initiatives, fostering connection with our customers. The Data Scientist will harness the Department's incredible wealth of data to develop analytical insights, drive positive organizational value and outcomes to encourage the adoption of data driven decisions that will lead to improvements for the overall public good and IDR's operations and performance. In this position you will be responsible for: - Working with stakeholders to identify opportunities to enhance the Department's performance by using data-driven tools to obtain, measure and analyze results. - Conducting data analysis to uncover patterns, trends, and anomalies using statistical techniques (e.g. Heat Maps, Predicator Screening, Regression models, Time Series Models, Decision Trees Analysis, and Survey & Text Analysis). - Overseeing the identification, research, and investigation of opportunities for both leveraging data and adopting/applying new technology (e.g. artificial intelligence) to drive business growth, efficiency, and innovation. - Researching and implementing techniques and tools in machine learning and artificial intelligence to make data analysis more efficient. - Managing, implementing and maintaining the Analytical and Artificial Intelligence (AI) platforms used by the Department. - Spearheading the Department's usage of the Analytical and Artificial Intelligence platforms through dashboard development and maintenance of the platforms. This includes the technical support to improve the design of the models to run more efficiently. - Developing, refining, and optimizing AI-generated text prompts that are fed into AI platforms to ensure they are accurate, engaging, and relevant for various applications. - Collaborating with different teams to improve the prompt generation process and overall AI system performance. - Determining the data needed for key performance indicators (KPIs), metrics, and dashboards, gather the data from multiple sources, manipulate in preparation for analysis and present data findings and recommendations to stakeholders. - Assisting in the building and design of statistical models (i.e. What-if, Diagnostic, financial models) to answer business questions. Preference will be given to candidates with experience in the following: - Knowledge and experience using SAS Viya, Excel, SQL, and other analytical tools to respond to data requests and to solve problems. This consists of writing relevant code or reviewing existing code to resolve programming and data issues. It involves calculating, organizing, and summarizing data for analysis. - Experience creating advanced visualizations and dashboards that clearly and easily communicate complex findings while adhering to industry best practices. This is done via the use of tools such as Tableau, Power BI, SAS Visual Analytics, JMP, etc. - Experience in the management and administration of Analytical and Artificial Intelligence platforms Job Specific Competencies: - Mathematical Reasoning - Choose the right mathematical methods or formulas to solve a problem. - Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. - Written Expression - Communicate information and ideas in writing so others will understand. Employer Highlights: The Iowa Department of Revenue is a well-respected employer. We are focused on providing excellent customer service, while offering a wonderful team atmosphere, work-life balance, free parking, and casual attire. We offer a flexible working environment and opportunities to work from home with the ability to work from anywhere in the State of Iowa as long as it is your primary residence. We have a great total compensation package for all of our full-time employees, including: - Iowa Public Employees' Retirement System (IPERS) - Retirement Investors Club (RIC) - Flexible Working Environment- Work from Home Opportunities - Health, Dental and Vision Insurance - Vacation Leave - Sick Leave - Paid Holidays (9 days/year) - Flexible Spending Accounts - Life Insurance - Long-Term Disability Insurance The mission of the Iowa Department of Revenue is to serve Iowans through the responsible collection and generation of revenue to support the public good. If you're looking for a career with an organization that values its employees and customers, you've come to the right place. Applicants must live within the State of Iowa to qualify for this position. This position will be required to come into the Hoover Building in Des Moines for meetings as needed. Applicants must be legally authorized to work in the U.S. without the need for employer sponsorship, now or in the future. A background check, including a criminal history check, fingerprint and Iowa tax filing check, will be conducted on the final candidate. Effective July 1st, 2025, all Department of Revenue staff and their household will not be able to play any Iowa Lottery games. E-Verify and Right to Work The State of Iowa participates in E-Verify, a federal program that helps employers confirm the employment eligibility of all newly hired employees. Within the required timeframe, new hires will be verified through the E-Verify system to ensure authorization to work in the United States. The State of Iowa also complies with the federal Right to Work laws, which protect employees' rights to work without being required to join a labor organization. For more information, please visit www.e-verify.gov Applicants must meet at least one of the following minimum requirements to qualify for positions in this job classification: NOTE: Unofficial Transcripts are required to verify degree and coursework 1) Seven years of full-time work experience in business/data/statistical analytics, economic research, or data science. 2) Graduation from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management, and experience equal to three years of full-time (as described in number one). NOTE: Only degrees listed are valid. NOTE: Unofficial Transcripts are required to verify degree and coursework 3) All of the following (a, b, and c): a. One year of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience; and c. A total of two years of graduate-level education and/or full-time experience (as described in part a), where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience. NOTE: Unofficial Transcripts are required to verify degree and coursework 4) All of the following (a, b, and c): a. One year of full-time work experience business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and c. Graduation from an accredited college or university with a Master's degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management. NOTE: Unofficial Transcripts are required to verify degree and coursework 5) All of the following (a, b, and c): a. Three years of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and c. Possession of a professional certificate in data science, business analytics, or data analytics. NOTE: Copies of the certificate are required 6) Current, continuous experience in the state executive branch that includes six months of full-time work as a Data Analyst 2. For additional information, please click on this link to view the job description.

Role Description - Lead the architecture, development, and deployment of enterprise-scale AI/ML solutions - Build AI Agents, intelligent automation workflows, and LLM integrations - Drive MLOps, CI/CD, and ML infrastructure best practices - Design and optimize scalable AWS-based data pipelines and analytics platforms - Develop production-grade APIs and model-serving solutions - Integrate enterprise systems such as SAP and Salesforce - Mentor engineering teams and provide technical leadership Qualifications - Expert Python Programming - PyTorch, TensorFlow, Scikit-Learn - AI Agents, LLMs & MCP Server Integration - AWS Services (Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM) - Docker, CI/CD, MLOps - REST API Design & Production ML Deployments Requirements - Candidates who can join within 30 days preferred Benefits - Salary: 40-50 LPA Company Description If interested, please send your updated resume to: rehana.j@two95intl.com and include your rate/salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts who would be a perfect match for this job, we would appreciate it if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest.

• Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. • Build, fine-tune, and evaluate recommendation algorithms for scalability and performance. • Collaborate with engineering and product teams to integrate ML solutions into business applications. • Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives. • Provide technical guidance and mentorship to junior data scientists and engineers. • Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills. • Drive innovation by exploring and implementing new techniques in recommendation systems and Al. • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

• Monitoring and analysis of indicators using dashboards • Extraction and manipulation of data using programming tools such as SQL and Python • Preparing analyses to support decision-making • Management of fraud prevention tools