Note: The job is a remote job and is open to candidates in USA. H&R Block is a tax and financial services company that provides assistance and digital solutions to clients and communities. The Data Scientist will use statistical modeling, machine learning, and data engineering to generate strategic insights and build scalable predictive solutions across the company’s products and services. The role collaborates with data engineers, business leaders, and software developers to translate complex data into actionable business outcomes.
Skills
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent combination of education and experience
- 2–5 years of experience in data science, analytics, machine learning, or a related quantitative field
- Strong analytical and problem-solving skills with experience applying statistical methods to business problems
- Experience building, validating, and interpreting predictive, descriptive, and diagnostic models
- Proficiency in Python or R for data analysis, modeling, and automation
- Strong SQL or PySpark skills and experience working with large, complex datasets
- Experience using data visualization and storytelling tools to communicate insights to business stakeholders
- Ability to translate ambiguous business questions into analytical approaches and actionable recommendations
- Experience designing and analyzing experiments, including A/B testing and causal measurement techniques
- Understanding of machine learning techniques such as regression, classification, clustering, and ensemble methods
- Ability to perform data exploration, feature engineering, model evaluation, and performance monitoring
- Familiarity with big data platforms and distributed computing technologies such as PySpark, Databricks, or Spark
- Experience working in cloud-based analytics environments such as Azure, AWS, or GCP
- Knowledge of software development best practices, including Git version control and code review processes
- Experience with customer analytics, retention modeling, segmentation, forecasting, or recommendation systems
- Familiarity with causal inference, uplift modeling, or advanced experimentation techniques
- Ability to influence decisions through clear communication and data-driven storytelling
- Experience working with product, marketing, financial services, retail, or digital customer data
- Familiarity with funnel analysis, customer segmentation, and year-over-year performance tracking
- Experience mentoring junior analysts or data scientists
- Experience in tax, financial services, retail, or other consumer-focused industries is preferred
- Exposure to generative AI, large language models (LLMs), or applied AI solutions is a plus
Benefits
- Remote work
- Qualifying associates can enroll themselves and/or their eligible dependents in 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
- Eligible candidates may 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
Company Overview
Company H1B Sponsorship