Tax Data Scientist & ML Engineer

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

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.