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EY · 6 hours ago

Data Scientist - Advanced Tech - National Tax - TTT - Manager - Multiple Positions - 1676660

Dallas, TX

Full-time

Hybrid

Mid, Senior Level

$128K/yr - $128K/yr

5+ years exp

EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to building a better working world. The Data Scientist role focuses on applying data mining techniques and statistical analysis to develop predictive systems integrated with tax technology products, while managing teams and delivering quality client services.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

Machine LearningData ManipulationData VisualizationETL SolutionsPythonSQLData ScienceStatistical AnalysisApache SparkMongoDBPower BITableauRTeam Management

Required

Must have a 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, will accept a Master's 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, Naïve 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