Data Scientist

🔥 2 minutes ago

🏰 Missouri – Remote

🏰 Missouri – Remote

💵 $91k - $145.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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H&R Block

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1955

💸 Finance

👥 B2C

🤝 B2B

Finance • B2C • B2B

H&R Block is a U. S. -based tax preparation and financial services company that provides in-person and online tax filing, tax professionals, small business bookkeeping and payroll, and related financial products such as refund advances and prepaid cards. Founded in 1955, it operates retail tax offices, franchises, and digital platforms to serve consumers and small businesses with tax, accounting, and financial solutions.

📋 Description

• leverage advanced statistical modeling, machine learning, and data engineering techniques to drive strategic insights and develop scalable predictive solutions across H&R Block’s products and services • collaborate cross-functionally with data engineers, business leaders, and software developers to translate complex data into actionable business outcomes

🎯 Requirements

• 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

🏖️ Benefits

• competitive pay • comprehensive benefits • support for life both in and outside of work • associate discount program • Health insurance • retirement savings plan (401(k) Plan) • Employee Assistance Program • (virtual) fitness center programs • Business Travel Accident Insurance • Associate Tax Prep benefit