Job Description

Job Description: In this role, you will design, develop, and operate as an independent consultant, creating methods and systems to generate actionable insights and solutions for our clients. You will interact with product and service teams to identify questions and approaches for data analysis and experiments. You will develop and code algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources, identifying meaningful insights from “big data” sources. You will serve as a direct voice to business partners on the application of data science.

• Completes detailed analytics and provides clear and compelling recommendations to senior leaders.
• Work within a given strategy to support programs with minimal direction.
• Consult partners on data science solutions applied to workforce planning problems, utilizing methods like staffing optimization, mixed integer programming, and simulation.
• Exercise independent judgement in methods, techniques, and evaluation criteria for obtaining results.
• Serves as a direct voice to business partners on the application of data science.
• Work with clients to review their analytics roadmaps and understand the higher-level needs of business and where data science is applicable.
• Use Agile knowledge while operating as an independent consultant who can work autonomously to solve problems of high complexity.
• Partner with data engineers in the creation, testing, and deployment of impactful data science driven solutions.
• Provide mentorship to more junior staff on technical skills.

H&R Block’s purpose is simple: To provide help and inspire confidence in our clients and communities everywhere. We’ve been true to that purpose since brothers Henry and Richard Bloch founded our company in 1955. Since then, we’ve grown to have approximately 12,000 offices throughout the United States and around the world.

We are a people company first and a tax company second. People who join H&R Block say it feels like being part of something bigger. A place with an amazing and storied history, but with a strong and urgent focus on the future. Maybe it’s how determined, forward thinking and innovative we are, or how accessible our leadership is. We believe it’s all those things, and much more.

H&R Block is committed to diversity and inclusion and is proud to be an equal opportunity employer. We consider qualified applicants regardless of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. All qualified applicants are welcomed and encouraged to apply.

• Masters degree in a related field or the equivalent through a combination of education and related work experience.
• Experienced in application of common analytical techniques: - Ensemble algorithms (e.g. bagging, boosting, GBM, random forest, etc.) , - Winner-take-all methods (e.g. SVM, KNN), Regression (e.g. Ridge, Lasso, Polynomial, Shapely)
• Experience using big data/Machine Learning frameworks: Hadoop, Spark, PyTorch, TensorFlow or similar
• Strong understanding of data architectures, APIs, and data warehousing solutions. Knowledgeable of data architecture technologies like Pig, MapReduce, Spark and Hive
• Strong data visualization skills (experience with Python or R libraries like Matplotlib, Seaborn, ggplot2,plotly, etc.)
• Advanced (applied theory) Python or R
• 5 years Minimum related work experience

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