Tax Data Systems & ML Engineer

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

Benefits offered by this job

Equity grant

Bonus target

Job summary

Google in Chicago, IL is seeking a Data Scientist specialized in machine learning engineering to tackle tax data challenges. You will work on end-to-end ML pipelines, collaborate with data scientists, data engineers and program managers, and contribute to scalable data solutions across tax domains.

Responsibilities include building and deploying full-stack solutions (Java backend, Python tooling, APIs), automating data processes with Python, and translating complex analytics into actionable

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 analysis

Data visualization

Education

Bachelor's degree in Finance or Tax with an emphasis in Data Science/Information Systems

Tools

PostgreSQL

MySQL

TensorFlow

Scikit-Learn

APIs

REST

Job description

Google in Chicago, IL is seeking a Data Scientist specialized in machine learning engineering to tackle tax data challenges. You will work on end-to-end ML pipelines, collaborate with data scientists, data engineers and program managers, and contribute to scalable data solutions across tax domains.

Responsibilities include building and deploying full-stack solutions (Java backend, Python tooling, APIs), automating data processes with Python, and translating complex analytics into actionable