• Lead the development and advancement of measurement methodologies that push the boundaries of what’s possible in evaluating marketing effectiveness • Explore innovative approaches grounded in data science and modern analytical methods • Drive the creation of frameworks, tools, and processes, and adoption of new methodologies that make measurement more systematic and scalable across a variety of channels. • Strengthen and evolve modeling approaches to deliver insights that are both robust and actionable. • Iterate on measurement approaches to marketing problems like channel incrementality, bolstering a robust approach to maximizing return on ad spend • Collaborate with cross-functional partners to connect measurement learnings with business strategy and growth. • Serve as a technical leader—mentoring others, elevating analytical standards, and shaping the long-term direction of measurement at Thumbtack. • Identify and pursue new opportunities where advanced analytics or fresh methodologies can unlock impact.

• Researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments • Analyzing large datasets with preprocessing data skills, data cleansing, and conducting data integrity and validation actions • Designing, developing, and integrating ML models and algorithms to address specific problems, such as detection of AI-generated and manipulated imagery and video • Introducing ML and pattern recognition to discover hidden insights • Collaborating well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results • Integrating advanced algorithms developed by academic partners into operational workflows using NGA data and environments • Adapting and optimizing models for real-world conditions (compression, noise, format variability) • Working with containerized solutions (Docker or similar) to support deployment and reproducibility • Generating technical reports, visualizations, and summaries suitable for NGA stakeholders • Participating in technical meetings and reviews within secure environments (SCIF)

• Lead a team of business data analysts responsible for implementation, enhancement and maintenance of Anti Money Laundering (AML) Transaction Monitoring (TM) platform • Translate typology driven requirements into implementable detection logic • Collaborate with Technology, Data, and Modeling teams • Engage with Audit and Compliance stakeholders to support issue validation, remediation planning, and closure of regulatory or internal audit findings

Entity: Oracle America, Inc. Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.34516) Employer will accept a Master’s degree in Computer Science, Engineering, or related technical field and 3 years of experience in the job offered or in a Data Scientist-related occupation. Position requires: 1. Data science programming languages including R and Python; 2. SQL, RDBMS, query optimization concepts and experience in querying and manipulating data for analysis; 3. Data visualization, dashboarding and reporting using tools including Tableau, Looker, and Matplotlib; 4. Statistical Data analysis including quantitative analysis, statistical data mining, data insights, KPI dashboard, predictive modelling, data manipulation, data modeling, and EDA (Exploratory Data Analysis); 5. Machine Learning algorithms including decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, graph data modeling, cross-validation, and model evaluation; 6. ETL and ELT, data warehousing and big data concepts; 7. Cloud Platforms including Amazon Web services and Google cloud platform; 8. Development on IDE including Pycharm and Jupyter Notebook; and, 9. Agile Methodologies including Kanban and SCRUM. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.