Data Analytics and Systems Analyst, Tax Technology

Data Analytics and Systems Analyst, Tax Technology

Share Data Analytics and Systems Analyst, Tax Technology

corporate_fare Google place Chicago, IL, USA

Mid

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

Share Data Analytics and Systems Analyst, Tax Technology

Minimum qualifications:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, Tax, a related quantitative field, or equivalent practical experience.

• 4 years of experience working with data, including data science methodologies or machine learning applications.

• Experience developing or applying machine learning solutions (e.g., Generative AI, Natural Language Processing (NLP), or Large Language Models (LLMs))

• Experience coding in Python and SQL.

Preferred qualifications:

• Master's degree in Data Science, Computer Science, Information Systems, Statistics, or a related quantitative field.

• Experience building and deploying end-to-end machine learning models or predictive analytics in production (e.g., TensorFlow, Scikit-Learn).

• Experience in the design, implementation, and delivery of scalable build/test/release software development lifecycles (SDLC).

• Ability to work with cross-functional teams to drive the development and deployment of GenAI and LLM solutions.

• 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 and Machine Learning Engineering (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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

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 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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/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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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.