H&R Block Sr Data Scientist in Remote, Missouri
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 and experienced in machine learning algorithms, predictive modeling, forecasting, time-series analysis, and ensemble algorithms.
Consults partners on data science solutions applied to demand forecasting and planning problems.
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.
Skilled in the collaborative development of data science driven processes utilizing a combination of Python, R, and SQL language programming, in the context of repositories such as Azure DevOps or Git.
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.
Home Office - MO
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... :
The additional nice to haves would be experience in application of time series methods and packages (preferably in python)
Models/Methods: ARIMA, SARIMA, SARIMAX, DNN, LSTM, CNN, ResNet, etc
useful link ( https://www.udemy.com/course/applied-time-series-analysis-in-python/?coup DAED94F0333DBDC8FAEC )
Packages: Prophet, tsfresh, autots, darts, AtsPy, kats, sktime, etc
useful link ( https://towardsdatascience.com/7-libraries-that-help-in-time-series-problems-d59473e48ddd )
What you'll bring to the team... :
- 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
Senior Data Scientist
WOTC Eligibility Check: