{"id":1899605,"url":"https://alion.io/job/irco-senior-data-scientist-analytics-mlops","title":"Senior Data Scientist - Analytics & MLOps","company":{"id":2208189,"name":"Ingersoll Rand","domain":"irco.com","url":"https://alion.io/company/irco-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-05T08:36:28Z","employer_posted_date":null,"last_verified_at":"2026-10-05T08:36:28Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Job Summary:\n\nWe are looking for a technically strong Senior Analytics Engineer / Data Scientist to own both sides of a modern analytics and ML platform: Designing and rigorously reviewing SQL-based data pipelines and business insight logic on Google BigQuery, and owning the end-to-end MLOps lifecycle for models running in production on GCP.\n\nThis role blends hands-on engineering with technical review responsibility.\n\nResponsibilities:\n\n- Design and implement BigQuery SQL procedures, views, and table functions for business insight generation.\n\n- Analyze and optimize BigQuery query for cost and performance and enforce shared architectural conventions.\n\n- Own the end-to-end MLOps lifecycle - 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