Tax Technology and Transformation - Advanced Technologies - Data Scientist - Staff

About the role

Tax Technology and Transformation provides services to help companies address the challenges posed by existing and emerging technologies, particularly the increasing data burden, by enhancing efficiency and transforming tax functions into cost-effective operations. Key offerings include digital tax transformation, tax applications-as-a-service, tax data improvement, analytics enhancement, and emerging technologies like robotic process automation (RPA), artificial intelligence (AI), and blockchain.

Responsibilities

• Apply data mining techniques, do statistical analysis, and build high-quality prediction systems integrated with our products.
• Team on a national and even global scale, focusing on strong communication, attention to detail, and effective driving of results.
• Selecting features and building and optimizing classifiers using machine learning techniques.
• Designing and building AI Agents to automate and enhance complex business tasks.
• Integrating AI components into full-scale solutions to support business processes.
• Data mining using state-of-the-art methods.
• Designing and building robust data pipelines that can handle data at a multinational, enterprise scale.
• Supporting various client projects, ranging from assisting in the production of leading-edge machine learning models to designing and implementing robust data pipelines.

Requirements

• A bachelor's degree in data science, information system, tax technology, management information systems or computer science or related field.
• Minimum of one year of related work experience.
• Approved technical certification, CPA license or membership to state Bar or progress to attaining those mentioned.
• Passionate interest in data science and its role in organizations.
• Excellent communication and business writing skills.
• Natural flair for problem-solving and an entrepreneurial approach to work.
• Strong organizational and time management skills, with exceptional client-serving consulting skills.
• Desire and demonstrated ability to provide leadership within a team.
• Willingness to travel as needed, and working in a balanced hybrid environment.
• Strong understanding of machine learning techniques and algorithms, such as Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), Random Forests, etc.
• Strong command and up-to-date knowledge of the latest developments in the field of Artificial Intelligence, including but not limited to Generative AI, and AI Agents.
• Hands-on experience with Large Language Models (LLM) and AI Agents.
• Strong knowledge and experience using the Python toolkit (Pandas, NumPy, Jupyter Notebooks, etc).
• Experience with data visualization tools, such as PowerBI, Seaborn, Matplotlib, etc.
• Experience with one of the following: SQL and NoSQL database technologies, SQL Server, MongoDB, Databricks, or Snowflakes.
• Strong scripting and programming skills, ability to write clean code, and understanding Object Oriented Programming concepts.
• Ownership of assigned tasks and monitoring them until completion, including documenting requirements, configuration, testing and debugging.
• Ability to identify ways to automate manual tasks using existing financial or tax systems and emerging technologies.
• Consolidation of data to make analysis and planning more efficient.
• Focus on improving reporting capabilities to enhance our clients' ability to evaluate risk and capitalize on opportunities.
• Willingness to support project team members in any way needed to help ensure timely completion of deliverables.
• Experience with Apache Spark, Databricks, Snowflakes or other data tools.
• Experience working in the Microsoft Azure Cloud environment, AWS, GPT or other Cloud environment.
• ERP experience, including SAP and/or Oracle-preferred but not required.
• Practical experience or strong theoretical understanding of neural networks and their applications.

Qualifications

• Passionate interest in data science and its role in organizations.
• Strong business acumen and a firm strategic vision.
• Strong organizational and time management skills, with exceptional client-serving consulting skills.
• Desire and demonstrated ability to provide leadership within a team.
• Willingness to travel as needed, and working in a balanced hybrid environment.
• Strong understanding of machine learning techniques and algorithms, such as Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), Random Forests, etc.
• Strong command and up-to-date knowledge of the latest developments in the field of Artificial Intelligence, including but not limited to Generative AI, and AI Agents.
• Hands-on experience with Large Language Models (LLM) and AI Agents.
• Strong knowledge and experience using the Python toolkit (Pandas, NumPy, Jupyter Notebooks, etc).
• Experience with data visualization tools, such as PowerBI, Seaborn, Matplotlib, etc.
• Experience with one of the following: SQL and NoSQL database technologies, SQL Server, MongoDB, Databricks, or Snowflakes.
• Strong scripting and programming skills, ability to write clean code, and understanding Object Oriented Programming concepts.
• Ownership of assigned tasks and monitoring them until completion, including documenting requirements, configuration, testing and debugging.
• Ability to identify ways to automate manual tasks using existing financial or tax systems and emerging technologies.
• Consolidation of data to make analysis and planning more efficient.
• Focus on improving reporting capabilities to enhance our clients' ability to evaluate risk and capitalize on opportunities.
• Willingness to support project team members in any way needed to help ensure timely completion of deliverables.
• Experience with Apache Spark, Databricks, Snowflakes or other data tools.
• Experience working in the Microsoft Azure Cloud environment, AWS, GPT or other Cloud environment.
• ERP experience, including SAP and/or Oracle-preferred but not required.
• Practical experience or strong theoretical understanding of neural networks and their applications.

Skills

• Machine learning techniques and algorithms, such as Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), Random Forests, etc.
• Strong command and up-to-date knowledge of the latest developments in the field of Artificial Intelligence, including but not limited to Generative AI, and AI Agents.
• Hands-on experience with Large Language Models (LLM) and AI Agents.
• Strong knowledge and experience using the Python toolkit (Pandas, NumPy, Jupyter Notebooks, etc).
• Experience with data visualization tools, such as PowerBI, Seaborn, Matplotlib, etc.
• Experience with one of the following: SQL and NoSQL database technologies, SQL Server, MongoDB, Databricks, or Snowflakes.
• Strong scripting and programming skills, ability to write clean code, and understanding Object Oriented Programming concepts.
• Ownership of assigned tasks and monitoring them until completion, including documenting requirements, configuration, testing and debugging.
• Ability to identify ways to automate manual tasks using existing financial or tax systems and emerging technologies.
• Consolidation of data to make analysis and planning more efficient.
• Focus on improving reporting capabilities to enhance our clients' ability to evaluate risk and capitalize on opportunities.
• Willingness to support project team members in any way needed to help ensure timely completion of deliverables.
• Experience with Apache Spark, Databricks, Snowflakes or other data tools.
• Experience working in the Microsoft Azure Cloud environment, AWS, GPT or other Cloud environment.
• ERP experience, including SAP and/or Oracle-preferred but not required.
• Practical experience or strong theoretical understanding of neural networks and their applications.

Benefits

The company offers a comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. The base salary range for this job in all geographic locations in the US is $76,600 to $126,300. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $91,800 to $143,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Pay

The base salary range for this job in all geographic locations in the US is $76,600 to $126,300. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $91,800 to $143,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

The company offers a flexible vacation policy where employees decide how much vacation time they need based on their personal circumstances. They also grant time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support their physical, financial, and emotional well-being.

What We Offer

We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The company focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities.

What We Look For

We are looking for knowledgeable data science professionals with a passion for turning data into actionable insight. You will need strong business acumen and a firm strategic vision, so if you are ready to use those skills to develop your team, this role is for you. Are you ready to shape your future with confidence? Apply today.

EY

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.