{"id":3858740,"url":"https://alion.io/job/google-data-analytics-and-systems-analyst-tax-technology","title":"Data Analytics and Systems Analyst, Tax Technology","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":134,"ghost_share":0.045,"stale_share":0.739,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"LLM","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-06T07:11:03Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T07:08:53Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the job\nAt 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.\nAs 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nWork cross-functionally with data scientists, data engineers and program managers to understand, implement and deploy machine learning pipelines.\nDevelop and implement automation solutions using scripting languages (e.g., Python) to streamline processes and enhance 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