Data Scientist – Adv Tech – National Tax-Tax Tech and Trans – Manager

Role Overview

Data Scientist role in EY’s Advanced Technologies team, working on tax technology products, assisting businesses navigate digital age of tax transparency, and solving complex problems.

What You Will Do

Apply data mining techniques, perform statistical analysis, build high quantity prediction systems, and provide data-driven business recommendations to clients.

Why It Might Be a Fit

Must have 5+ years of experience in data science, machine learning, and data analysis, with experience in managing and analyzing large datasets, and experience with tax or accounting-related datasets.

Requirements

• Bachelor’s degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field
• 5 years of progressive, post-baccalaureate related work experience
• 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
• 3 years of experience in the management and manipulation of large datasets, both structured and unstructured
• 3 years of experience with machine learning techniques and algorithms
• 2 years of experience managing and/or analyzing data using at least one of the following: SQL and NoSQL, SQL Server, or MongoDB
• 1 year of experience with using the Python toolkit (Pandas, NumPy, and/or Jupyter Notebooks)
• 1 year of experience with distributed file systems including Apache Spark
• 1 year of experience designing and implementing ETL solutions for tools, including at least one of the following: Alteryx, SSIS, DataStage, Informatica, Talend, and/or Pentaho
• 1 year of experience with data visualization tools, such as Power BI, Tableau, and/or D3.js
• 1 year of experience with data science programming languages, including, Python and R
• 1 year of experience managing junior data and data analytics professionals
• Certification/accreditation in one of the following: Certified Digital Product Manager (CDPM), Certified Product Manager (CPM), Master’s degree in business administration, finance, economics, computer science, information systems, engineering, or Quantitative Economics, Certified Member of the Institute for Professionals in Taxation (CMI), Chartered Professional Accountant (CPA) or foreign equivalent, Certified SAFe Professional, Chartered Financial Analyst (CFA), Vertex Certified Implementer, Thomson Reuters ONESOURCE Certified Implementer Program (CIP), Microsoft Azure or Azure AI, Microsoft Power Platform or Devops Engineer

Benefits

• Comprehensive compensation and benefits package
• Medical and dental coverage
• Pension and 401(k) plans
• Paid time off options
• Flexible vacation policy
• Designated EY Paid Holidays
• Winter/Summer breaks
• Personal/Family Care
• Other leaves of absence