Job Description

What you'll do...

H&R Block is looking for a Sr. Data Scientist to reinvent our digital experiences. You will empower customers through our Fintech startup focused on providing financially vulnerable and coping consumers access to innovative financial services. Financially backed by one of the largest alternative financial services providers in the Americas, this startup is well-positioned to disrupt the US financial services industry for the underserved. The company is currently in pre-launch and is expected to enter the market early-2022.

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 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 Pig, MapReduce, Spark, and Hive.
• Work with and partner in the creation of data architectures.
• Able to work with front end developers (e.g. using HTML, CSS, JavaScript) to deliver impactful solutions.
• Provide mentorship to more junior staff on technical skills.

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 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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