About The Position
Ernst & Young U.S. LLP is hiring a Data Scientist in Advanced Technologies within National Tax—Tax Technology and Transformation, at the Manager level, in New York, NY. The role applies data-mining techniques, performs statistical analysis, and builds high-quality prediction systems integrated with tax technology products. It helps businesses respond to digital tax transparency, evolving tax compliance and audit methods, and other business challenges through data-driven recommendations and more valuable, lower-cost data management. The Data Scientist processes, cleanses, and verifies data; improves data collection; selects features; and builds and optimizes machine-learning classifiers. The role supports client projects ranging from producing advanced machine-learning models to designing and implementing robust, multinational-scale data pipelines. It also manages and motivates professionals with diverse skills and backgrounds, monitors progress to deliver quality client services, and demonstrates in-depth technical capabilities and professional knowledge. This is a full-time position, Monday through Friday, 40 hours per week, from 8:30 a.m. to 5:30 p.m. Domestic travel of up to 10% is required to serve client needs. EY uses a team-led, leader-enabled hybrid model; most people in external, client-serving roles are expected to work together in person 40–60% of the time over an engagement, project, or year.
Requirements
- Bachelor’s 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, a master’s degree in one of these fields or a related field and 3 years of related work experience.
- 3 years of experience working in a professional services firm, consulting firm, or mid-sized/regional to large-sized/national public accounting firm.
- 3 years of experience managing and manipulating large structured and unstructured datasets, including at least 1 year with tax- or accounting-related datasets.
- 3 years of experience with machine-learning techniques and algorithms, including at least one of Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines, or Decision Forests.
- 2 years of experience managing and/or analyzing data using SQL and NoSQL, SQL Server, or MongoDB.
- 1 year of experience using the Python toolkit, including 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 using at least one of Alteryx, SSIS, DataStage, Informatica, Talend, or Pentaho.
- 1 year of experience with data visualization tools such as Power BI, Tableau, 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, including setting goals, assigning work, and reviewing performance.
- Must hold at least one listed certification/accreditation or be able to obtain one within 1 year of hire: Certified Digital Product Manager (CDPM); Certified Product Manager (CPM); a 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.
- Must qualify as a “United States worker” as defined by U.S. Department of Labor regulations at 20 CFR 656.3.
- Domestic travel up to 10% is required to serve client needs.
- Employer will accept any suitable combination of education, training, or experience.
Responsibilities
- Apply data-mining techniques, perform statistical analysis, and build high-quality prediction systems integrated with tax technology products.
- Help businesses address tax transparency, tax compliance, and tax audit challenges and provide data-driven business recommendations.
- Identify complex problems, review related information, and develop and evaluate options.
- Decrease the cost of managing data and increase the value of existing data.
- Process, cleanse, and verify data used for analysis, and enhance data collection procedures to capture information relevant to analytic systems.
- Select features and build and optimize classifiers using machine-learning techniques.
- Support client projects, including producing machine-learning models and designing and implementing robust data pipelines at multinational enterprise scale.
- Manage and motivate teams of professionals with diverse skills and backgrounds.
- Monitor progress to consistently deliver quality client services.
- Manage junior data and data analytics professionals, including setting goals, assigning work, and reviewing performance.
Benefits
- Medical and dental coverage.
- Pension and 401(k) plans.
- Flexible vacation policy.
- Paid holidays, Winter/Summer breaks, Personal/Family Care time off, and other leaves of absence.
- Continuous learning and development, with tools and flexibility to support career growth.
- Coaching and leadership development.
- A diverse and inclusive culture.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
