Data Scientist - Advanced Tech - National Tax - TTT - ...

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, youu2019ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And weu2019re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. Data Scientist, Advanced Technologies (National Tax - Tax Technology and Transformation) (Manager) (Multiple Positions) (1676660), Ernst & Young U.S. LLP, Dallas, TX. Apply data mining techniques, performing statistical analysis and building high quantity prediction systems integrated with tax technology products. Assist businesses navigate the digital age of tax transparency alongside new trends in tax compliance and tax audit methods, as well as helping to solve the most pressing challenges that businesses face. Identify complex problems and reviewing related information to develop and evaluate options, and provide data-driven business recommendations to clients. Decrease the cost of managing data and increasing the value of existing data. Process, cleanse and verify the integrity of data used for analysis and enhance data collection procedures to include information that is relevant for building analytic system. Select features and, build and optimize classifiers using machine learning techniques. Support various client projects, ranging from assisting in the production of leading edge machine models, to designing and implementing robust data pipelines that can handle data at a multinational, enterprise scale. Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Full time employment, Monday u2013 Friday, 45 hours per week, 8:30 am u2013 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bacheloru2019s degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Masteru2019s degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field and 3 years of related work experience. Must have 3 years of experience working in a professional services firm, a consulting firm, or a mid-sized/regional to large-sized/national public accounting firm. Must have 3 years of experience in the management and manipulation of large datasets, both structured and unstructured, of which 1 year of experience must be with tax or accounting-related datasets. Must have 3 years of experience with machine learning techniques and algorithms, including at least one of the following: Linear/Logistic Regression, k-NN, Nau00efve Bayes, Support Vector Machines (SVM), and/or Decision Forests. Must have 2 years of experience managing and/or analyzing data using at least one of the following: - SQL and NoSQL; - SQL Server; or - MongoDB. Must have 1 year of experience with using the Python toolkit (Pandas, NumPy, and/or Jupyter Notebooks). Must have 1 year of experience with distributed file systems including Apache Spark. Must have 1 years of experience designing and implementing ETL solutions for tools, including at least one of the following: Alteryx, SSIS, DataStage, Informatica, Talend, and/or Pentaho. Must have 1 years of experience with data visualization tools, such as Power BI, Tableau, and/or D3.js. Must have 1 year of experience with data science programming languages, including, Python and R. Must have 1 year of experience managing junior data and data analytics professionals, including setting goals, assigning work, and reviewing performance. Requires domestic travel up to 10%, to serve client needs. Employer will accept any suitable combination of education, training or experience. Please apply on-line at /en_us/careers and click on

Created: 2026-01-19