Tax Data Systems and Process Analyst

Google; Chicago (IL); On-site; USD 116,000 - 166,000; Full time

Job summary

Google is seeking a Tax Data Systems and Process Analyst in Chicago, IL. You will work as a Data Scientist specialized in machine learning engineering to solve tax data challenges across areas, driving scalable data solutions and informing leadership decisions.

As part of the Tax Technology team, you will build end-to-end ML workflows, deploy full-stack solutions, and partner with data scientists, engineers, and tax partners to deliver measurable business impact.

Qualifications

• Bachelor's degree in Finance or Tax with an emphasis in Data Science/Information Systems or equivalent practical experience.
• 4 years of experience working with data, including SQL, data warehouses and dashboard applications.
• Experience with programming languages: SQL, Python, and Java.

Responsibilities

• Work cross-functionally with data scientists, data engineers and program managers to understand, implement and deploy machine learning pipelines.
• Develop and implement automation solutions using scripting languages (e.g. Python) to streamline processes and enhance efficiency, involving extensive API integration and management.
• Lead the development and deployment of full-stack technology solutions, including web applications (e.g., Java backend, TypeScript frontend, gRPC) and internal APIs, ensuring seamless data flow and system interaction.
• Improve machine learning scalability, usability and performance.
• Explore the state-of-the-art technologies and apply them to deliver business benefits.

Skills

SQL

Python

Java

Data viz

Education

Bachelor's degree in Finance or Tax

Tools

SQL/data warehouses

PostgreSQL/MySQL

Job description

Tax Data Systems and Process Analyst

Chicago, IL, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor's degree in Finance or Tax with an emphasis in Data Science/Information Systems or equivalent practical experience.
• 4 years of experience working with data, including SQL, data warehouses and dashboard applications.
• Experience with programming languages: SQL, Python, and Java.

Preferred qualifications:

• 5 years of industry experience in a data scientist, machine learning engineer, or software engineering role with a focus on machine learning applications.
• Experience in design, implementation, and delivery of scalable build/test/release software development cycle.
• Experience with data processing and management, including Relational Database Management Systems (RDBMS) such as Postgres or MySQL.
• Experience with machine learning frameworks like TensorFlow and Scikit-Learn.
• Effective written and verbal communication skills to translate technical solutions and methodologies to senior leadership.

About the job

At Google, data drives all our decision-making. As a Data Scientist specialized in machine learning engineering, you will work on solving technical challenges across multiple tax areas.

As the Tax Technology team grows, we are particularly excited about bringing on folks interested in advancing their data science & MLE skills and collaborating with others to accelerate the creation of end-to-end data solutions to enable our tax partners to make informed decisions, manage risks and opportunities.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Work cross-functionally with data scientists, data engineers and program managers to understand, implement and deploy machine learning pipelines.
• Develop and implement automation solutions using scripting languages (e.g. Python) to streamline processes and enhance efficiency, involving extensive API integration and management.
• Lead the development and deployment of full-stack technology solutions, including web applications (e.g., Java backend, TypeScript frontend, gRPC) and internal APIs, ensuring seamless data flow and system interaction.
• Improve machine learning scalability, usability and performance.
• Explore the state-of-the-art technologies and apply them to deliver business benefits.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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