{"id":166499,"url":"https://alion.io/job/stryker-staff-data-scientist","title":"Staff Data Scientist","company":{"id":2579,"name":"Stryker","domain":"stryker.com","url":"https://alion.io/company/stryker","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":159,"ghost_share":0,"stale_share":0.635,"repost_share":0.025,"time_to_fill_p50_days":32,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":58000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-07-06T00:00:00Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-31T05:52:23Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":117},"description":"Work Flexibility: HybridWhat you will do-\nTranslate stakeholder requirements to potential AI & data science solutions independently.\n\nContribute to discussions on identifying opportunities where machine learning can be applied to real-world business opportunities with key stakeholders.\n\nSupport data science and AI collaboration efforts with partners across functions and teams\n\nBuild and deliver presentations and communications that explain critical functions and findings to stakeholders with some guidance.\n\nApply fundamental and some advanced concepts, practices and procedures for problem solving\n\nAutomate repetitive data prep, feature engineering, and model monitoring pipelines with AI-driven tools.\n\nExplore and integrate large language models (LLMs) and generative AI solutions to accelerate exploratory data analysis, reporting, and knowledge discovery.\n\nPartner with engineering teams to operationalize models, embedding automation into core products and processes.\n\nContinuously evaluate and improve model performance using automated monitoring, retraining, and alerting systems\n\nAbility to manage individual tasks with minimal guidance and flag project risks as they are identified.\n\nWhat you will need-\nRequired-\nBachelor's Degree in data science, computer science, mathematics, statistics, or related field with applicable data science work experience. 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