{"id":3651823,"url":"https://alion.io/job/nestle-careers-expert-data-scientist","title":"Expert Data Scientist","company":{"id":2077473,"name":"Nestlé Careers","domain":"nestlejobs.com","url":"https://alion.io/company/nestlejobs-com","size_band":"5000+","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":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":162000,"max":226000,"currency":"USD","period":"year","gross":null,"usd_annual":226000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-11-03T00:20:00Z","employer_posted_date":null,"last_verified_at":"2026-11-03T06:21:00Z","board_verified":false,"closed_at":"2026-11-03T06:21:00Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Nestlé IT & Digital Americas is hiring an Expert Data Scientist to support Nestlé USA. The role develops and deploys AI/ML solutions, partners with business functions to turn challenges into analytics use cases, and builds evaluation and workflow capabilities that support reliable adoption and measurable business value.\n\nResponsibilities\nLead the end-to-end development and deployment of machine learning models from experimentation and evaluation through production deployment, adoption, and ongoing optimization, aligned with business priorities\nPartner with stakeholders across the business to translate complex or ambiguous business challenges into clear technical requirements, defining data needs, success criteria, tradeoffs, risks, and actionable solutions that deliver measurable business value\nDevelop and deploy solutions within enterprise cloud environments, including automating jobs, provisioning resources, deploying packages, and navigating enterprise security requirements\nDesign evaluation, monitoring, and validation frameworks for production AI/ML solutions, identifying model, data-quality, and pipeline issues to ensure solutions remain reliable and effective at scale\nPartner across global and regional IT & Digital teams to scale analytics and ML capabilities, navigating enterprise platforms, roadmaps, and processes to enable adoption\nElevate team and organizational capability by documenting technical decisions and learnings, coaching teammates and business users, and applying security, resilience, and responsible AI/ML principles throughout solution development\n\nSkills\nThis position is not eligible for Visa Sponsorship\nBachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field\n7+ years of professional experience, including 5+ years of experience building and deploying production AI/ML solutions adopted by end users, including scaling solutions in enterprise environments using MLOps, cloud data platforms, and emerging AI/ML technologies\n3+ years of experience developing with Python/PySpark to automate tasks, manipulate data, and build production-level data science solutions in an MLOps environment\n3+ years of experience managing stakeholders with minimal oversight, maintain relationships, presenting to senior executives, and communicating high-level technical concepts in clear, colloquial, action-oriented language\n2+ years of experience mentoring/ coaching junior peers and teammates\nMaster's or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related discipline\nExperience in consumer products, CPG, or Commercial environments\n\nBenefits\nPerformance-based incentives\n401k with company match\nHealthcare coverage\n\nCompany Overview\nAs the digital leaders for the world’s largest food and beverage company, Nestlé Information Technology and Digital (IT & Digital) Americas harnesses the power of data, analytics and technology to deliver transformative and innovative solutions throughout Nestlé. It was founded in undefined, and is headquartered in St Louis, Missouri, US, with a workforce of 10001+ employees. 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