• Collect, organize, and interpret large volumes of data from multiple sources • Develop and maintain data ingestion and integration processes • Manipulate, clean, and structure datasets for consumption in BI platforms • Ensure data quality, standardization, governance, and consistency • Apply data engineering best practices to ensure performance and reliability • Support the development of dashboards and analytical reports • Perform exploratory data analysis (EDA) to identify patterns and insights • Document data processes, pipelines, and transformations • Assist in automating data collection and processing workflows

Role Description H&R Block is seeking a Data Scientist to support analytics initiatives for the Small Business (SMB) organization. This role will work closely with the Data Science & Analytics (DS&A) team and SMB partners to develop data‑driven insights that inform growth strategies, improve client engagement, and enhance operational efficiency. The Data Scientist will contribute across the data science lifecycle from data exploration and feature development to modeling, analysis, and insight delivery while gaining exposure to real‑world business problems in a collaborative environment. Day to day, you’ll… - Partner with DS&A teammates and SMB stakeholders to understand business questions and translate them into analytical approaches and deliverables. - Support end‑to‑end analytics and data science projects, including data extraction, cleaning, feature engineering, model development, and validation. - Build and analyze predictive and descriptive models to support initiatives such as client segmentation, customer behavior analysis, campaign performance measurement, and operational efficiency. - Conduct exploratory data analysis to identify trends, patterns, and opportunities within small business data. - Collaborate with product, marketing, and operational teams to design analytical solutions that align with business goals. - Translate analytical results into clear, actionable insights and communicate findings through presentations, dashboards, or written summaries. - Contribute to productionized analytics solutions by partnering with engineering or platform teams as needed. - Apply best practices in data quality, documentation, and reproducibility. Qualifications - Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field. - 2–4 years of experience in data science, analytics, or a related analytical role. - Experience applying statistical analysis and machine learning techniques to real‑world business problems. - Strong foundation in data wrangling, exploratory analysis, and model development. - Proficiency in Python and/or R, along with SQL for data extraction and analysis. - Familiarity with common modeling approaches such as regression, classification, clustering, and experimentation. - Ability to communicate analytical concepts and results clearly to both technical and non‑technical audiences. - Demonstrated ability to collaborate effectively within cross‑functional teams. Requirements - Experience working with small business, financial, or customer‑level data. - Exposure to experimentation frameworks, A/B testing, or causal analysis. - Basic understanding of accounting, finance, or tax concepts. - Experience working in a cloud‑based data environment. Benefits - Competitive compensation and benefits to support your health and well-being. - Medical and prescription drug coverage. - Participation in the H&R Block Retirement Savings Plan (401(k) Plan). - Employee Assistance Program. - (Virtual) fitness center programs. - Associate discount program. - Automatic enrollment in Business Travel Accident Insurance. - Associate Tax Prep benefit. Pay Range Information The pay range for this position is $91,000.00 - $145,600.00/Yr. Local minimum wage laws apply. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location where work will be performed. Successful candidates may be able to participate in one or more incentive compensation or short-term incentive plans, which could generate additional earnings in accordance with the terms of each plan.

• We are seeking a Senior Data Scientist to join our Data & Analytics team. We are looking for someone with a strong academic background and hands-on experience with large-scale datasets, statistical modeling, and machine learning applied to the financial sector, credit bureaus, or specialized consultancies. • Develop, train, and validate statistical and machine learning models to support decision-making; • Analyze large volumes of structured and unstructured data, ensuring data quality and consistency; • Build and maintain data pipelines and modeling processes; • Collaborate with business teams to understand problems and design data-driven solutions; • Document and present analysis and model results to both technical and non-technical stakeholders; • Contribute to model governance and reproducibility.

• Design and execute system-level measurement frameworks for foundational model improvements spanning offline evaluation benchmarks, online A/B experiments, and longitudinal impact tracking across surfaces. • Define, and own the success metrics that quantify foundational model value. • Build causal inference methodologies to isolate the incremental impact of individual model components within a complex, multi-model production system where changes co-occur and interact. • Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML Engineers, Applied Scientists, Homefeed and Surface teams to ensure measurement rigor is embedded in every model launch. • Relentlessly focus on impact, whether through sharpening investment decisions with data, raising the bar for launch criteria, accelerating experimentation velocity, or surfacing hidden inefficiencies in the model ecosystem.