Data Scientist

About the Role:
Required Qualifications:

• 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.

Preferred Qualifications:

• 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 in tax, financial services, retail, or other consumer-focused industries is preferred.
• Experience mentoring junior analysts or data scientists.
• Exposure to generative AI, large language models (LLMs), or applied AI solutions is a plus.

Why work for us: At H&R Block, our purpose is simple: to provide help and inspire confidence in our clients and communities everywhere. For more than 70 years, we’ve led the tax industry and we continue to evolve through our Block Next strategy, blending human expertise with digital innovation.

That same commitment to care extends to our associates. When you join us, you become part of a High Performing, Connected Culture built on strong relationships, continuous learning, and a shared commitment to making a meaningful impact. We invest in your well-being through competitive pay, comprehensive benefits, and support for life both in and outside of work. Pay Range Information: The pay range for this position is listed below. Local minimum wage laws apply. This information is posted pursuant to local requirements to provide applicants with information about what they might be eligible to receive. 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. Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage; can participate in the H&R Block Retirement Savings Plan (401(k) Plan), the Employee Assistance Program, (virtual) fitness center programs, and the associate discount program; are automatically enrolled in Business Travel Accident Insurance; and receive Associate Tax Prep benefit. Pay Range: $91,000.00 - $145,600.00/Yr. Sponsored Job: #LI-SH1 #LI-Remote