{"id":79366,"url":"https://alion.io/job/ingredion-data-scientist","title":"Data Scientist","company":{"id":3654,"name":"Ingredion","domain":"ingredion.com","url":"https://alion.io/company/ingredion","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":53,"ghost_share":0.019,"stale_share":0.792,"repost_share":0.038,"time_to_fill_p50_days":25,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T00:39:03Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":78},"description":"As the Data Scientist, your responsibilities will include:\nRole Overview\nLead data science initiatives within the Digital Operations team, driving innovation and operational excellence across Supply Chain, Manufacturing, and Quality.\nManage and mentor citizen data scientists while spearheading complex data science projects from inception to deployment, ensuring continuous alignment with business objectives.\nLeadership and Project Management\nLead and manage citizen data scientists through all phases of data science projects, providing mentorship and guidance.\nCollaborate with cross-functional teams to design, scope, and prioritize data science projects, including defining data collection methods, modeling techniques, and expected outcomes.\nManage data science projects from initiation to completion, continuously revisiting and refining models to ensure they meet evolving business needs.\nDevelop and maintain governance principles for data science projects, ensuring best practices are followed.\nProblem Analysis and Project Management\nDevelop advanced analytics models (predictive, prescriptive, machine learning, simulation, statistical) to address complex business challenges in Supply Chain, Manufacturing, and Quality.\nUtilize advanced machine learning and statistical techniques to perform data discovery, uncovering new correlations and interdependencies among variables that can drive operational improvements.\nLead the development of scalable data pipelines and integrate model performance management tools into existing business infrastructure.\nData Collection, Exploration, and Integration\nAccess and integrate data from various sources, including SQL databases and other systems relevant to Digital Operations.\nConduct data cleaning, transformation, and preprocessing to ensure data quality and readiness for modeling.\nApply statistical analysis, such as hierarchical clustering and PCA, to uncover insights.\nAid in the creation of data pipelines for more efficient and repeatable data science projects\nApply statistical analysis and visualization techniques to various data, such as hierarchical clustering and principal components analysis (PCA)\nDevelop classification and regression models or apply unsupervised learning to aid in uncovering insights in data.\nOperationalization\nDevelop advanced analytics models (predictive, prescriptive, machine learning, simulation, statistical) to address complex business challenges in Supply Chain, Manufacturing, and Quality.\nUtilize advanced machine learning and statistical techniques to perform data discovery, uncovering new correlations and interdependencies among variables that can drive operational improvements.\nLead the development of scalable data pipelines and integrate model performance management tools into existing business infrastructure.\nCollaborate with IT and data engineering teams to deploy and monitor production ML models, establishing best practices around ML production infrastructure.\nContinuously monitor, revisit, and refine deployed models to ensure they remain aligned with business objectives and adapt to changing operational needs.\nWork closely with stakeholders to communicate findings, insights, and recommendations effectively, ensuring that data-driven strategies are integrated into decision-making processes.\nOther\nStay updated with the latest advancements in data science, machine learning, and AI, and proactively integrate these innovations into projects where applicable.\nDrive strategic initiatives by identifying and prioritizing AI/ML opportunities that align with the organization’s operational goals, challenging the status quo, and promoting bold, innovative thinking.\nThe Data Scientist position is well-suited for you if you:\nCan translate business strategies into actionable plans by leveraging market and functional knowledge\nChampion new processes, remove barriers, and adapt current processes to facilitate improvement\nBuild sustainable internal and external relationships that deliver value for the business\nCultivate and maintain partnerships across functions, helping teams successfully navigate competing priorities\nChallenge the status quo and promote bold thinking to create value\nQualified candidates will have:\nBachelor’s Degree in Business, Management Information Systems, Data Science, or a related field required. \nMaster’s Degree in Data Science field strongly preferred.\nProven experience in leading and managing citizen data scientist.\nSpecialization in ML, AI, cognitive science, or data science\nKnowledge and application of agile methodologies\nProject experience in applying ML and data science to business functions such as forecasting, production planning, financial risk analytics, logistics, marketing analytics, and warehouse management.\nProven experience launching significant data science projects.\nDemonstrated ability to develop and execute strategies to support the achievement of business objectives.\nStrong written and oral communication skills and the ability to communicate at all levels of the organization\nMust be able to travel up to 20%\nIf you are inspired by professional challenges and the rewards that come from a high level of performance, then Ingredion is the company for you. At Ingredion, you can be a member of a globally connected team inspired to achieve great things.\nWe believe in the power of our people to work together to seize opportunities, overcome obstacles and exceed expectations. Each day, individuals make a meaningful difference in the quality of our products and the success of our technology and operations and, in turn, the quality of life for consumers.\nA career at Ingredion combines the benefits and professional opportunities afforded a $8 billion leader in our industry with the dynamic environment and team-driven culture you’d expect in a much smaller company. Despite its global scope and the advancement opportunities that come with it, Ingredion has the intimacy of a mid-size company, one where different perspectives are sought and where relationships matter.\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nIngredion provides accommodations to job applicants with disabilities throughout the hiring process. If a job applicant requires an accommodation during the application process or through the selection process, we will work with the applicant to meet the job applicant's accommodation needs.\nIngredion uses AI-enabled tools to support parts of the recruitment process, including resume screening and interview scheduling. These tools help match candidate skills to job requirements and streamline communication. All AI-assisted decisions are reviewed by our Talent Acquisition team to ensure fairness and compliance with applicable laws. By applying, you acknowledge that AI may be used to support your application journey.\n Relocation Available:\nNo","description_format":"text","description_chars":7045,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Food Ingredients"],"lifecycle":[{"event":"open","at":"2026-08-17T00:00:00Z"},{"event":"close","at":"2026-09-15T05:55:17Z"},{"event":"reopen","at":"2026-10-30T00:53:19Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.225,"p_room":0.28,"age_days":78,"expected_fill_days":25,"reasons":["conf:3","stale_co","win:tail","crowd:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/ingredion-data-scientist","json_url":"https://alion.io/job/ingredion-data-scientist.json","meta":{"generated_at":"2026-11-04T02:50:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4378,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3654},"rest":"https://alion.io/mcp/rest/get_company?id=3654"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fingredion-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fingredion-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fingredion-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ingredion-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fingredion-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":79366}},{"tool":"search_jobs","arguments":{"company":"ingredion.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":79366},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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