Sr Data Scientist

What you'll do

Designs, develops, and operates as an independent consultant in regard to methods and systems to generate actionable insights and solutions for our clients. Interacts with product and service teams to identify questions and approaches for data analysis and experiments. Develops and codes algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple sources. Identifies meaningful insights from "big data" sources. Serves as 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.
• Exercise independent judgement in methods, techniques, and evaluation criteria for obtaining results. Skilled in machine learning application, ensemble algorithms, winner-take-all methods, Bayesian Networks, and regression.
• 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.
• Strong understanding of data architectures, APIs and data warehousing solutions. Knowledgeable of data architecture technologies like Spark, and Hive.
• Work with and partner in the creation of data architectures.
• Able to work with front end developers to deliver impactful solutions.
• Provide mentorship to more junior staff on technical skills.

About H&R Block

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.

It would be even better if you also had

• Experience consulting business units on long-term machine learning projects designed to answer business strategy or operations questions.
• Experience with large-scale forecasting or modeling time series data via machine learning methods.
• Experience in workorce planning or labor optimization applications of data science.

What you'll bring to the team

Education:

• Masters degree in a related field or the equivalent through a combination of education and related work experience.

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 Spark, Hive, Pig, and MapReduce
• Strong data visualization skills (experience with Python or R libraries like Matplotlib, Seaborn, ggplot2,plotly, etc.)
• Advanced (applied theory) Python or R
• Experience utilizing a cloud-based platform to build, deploy, share, and maintain data, analytics, and ML solutions, such as Databricks or Snowflake
• 5 years Minimum related work experience.