Tax Data Systems and Process Analyst

Job description

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 .