{"id":2369565,"url":"https://alion.io/job/arcelormittal-data-scientist","title":"Data Scientist","company":{"id":13461,"name":"ArcelorMittal","domain":"arcelormittal.com","url":"https://alion.io/company/arcelormittal","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":193,"ghost_share":0,"stale_share":0.575,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Esch-sur-Alzette, Luxembourg"],"countries":["LU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":157000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":782},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"JavaScript","optional":true},{"name":"Next.js","optional":true},{"name":"RAG","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-12T12:35:44Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T15:04:22Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"As a Data Scientist, you will play a key role in transforming business opportunities into data-driven solutions that optimize pricing decisions, accelerate commercial excellence, and create measurable business value. You will collaborate closely with commercial, IT, finance, marketing, R&D, and sales teams to design, develop, and deploy advanced analytics, machine learning models, and digital solutions that support strategic and operational decision-making.\nYou will be responsible for the full lifecycle of data science initiatives, from business understanding and solution design to implementation, monitoring, and continuous improvement. In addition, you will actively contribute to the adoption of data-driven ways of working by supporting stakeholder engagement, training, and change management activities to ensure successful implementation and sustainable business impact.\nKey ResponsibilitiesYour will play a key role in this strategic and innovative pricing project and will be responsible to\nDesign, develop, deploy, and maintain AI/ML solutions that support pricing and commercial decision-making across multiple business domains.\nDesign and maintain end-to-end MLOps pipelines covering training, deployment, monitoring, and retraining.\nContribute to the design, implementation, and continuous improvement of pricing algorithms, decision-support models, and digital platforms.\nSupport the Domain Manager in managing AI/ML products and services throughout their lifecycle, ensuring alignment with business objectives and needs, governance standards, and long-term scalability.\nCollaborate closely with business stakeholders, IT, and data scientists to translate business requirements into data-driven solutions.\nSupport solution architecture, technical roadmap execution, and continuous evolution of the enterprise pricing ecosystem.\nDevelop processes and tools to monitor and analyze model performance and data accuracy.\nEnsure best programming practices are applied.\nQualificationsMaster’s degree in Computer Science, Artificial Intelligence, Mathematics, Engineering, Economics, or a related field.\n3+ years of experience in Data Science, Machine Learning Engineering, AI Engineering, or MLOps.\nStrong technical skills in Python, SQL, API development (FastAPI preferred).\nHands-on experience developing and deploying machine learning models in production environments.\nStrong knowledge of MLOps, CI/CD, Git, Docker, Kubernetes, Linux, Airflow, MLflow, and cloud platforms, preferably Microsoft Azure (Azure ML, AKS, ACR, App Services).\nStrong problem-solving and analytical skills, with the ability to collect, analyze, and interpret complex data sets\nExcellent communication and interpersonal skills to build relationships with internal and external stakeholders\nFluency in English is required, knowledge of additional European languages is a plus\nIt’s a plus if you also have the followingExperience in pricing, commercial analytics, revenue management, or optimization.\nHands-on experience building and deploying Generative AI, RAG, or Agentic AI solutions in enterprise environments.\nExperience with React/NextJS or modern web application development is considered an advantage.\nExperience leading technical initiatives, mentoring colleagues, and driving adoption of data and AI solutions.\nExperience working in the steel industry in office and plant environments\nOther important detailsFull-time position, based in Esch-sur-Alzette, Luxembourg\nNormal hours are 8 hours per day plus lunch, Monday to Friday\nStart and finish times are flexible to fit personal needs\nTeleworking day available up to 1 day a week\nIn return, you willBe part of the world's leading steel and mining company that thrives in becoming carbon neutral by 2050 \nReceive a competitive base salary reflective of your skills and experience, several benefits and an annual incentive program to reward your performance\nShape your career strategy thanks to technical & leadership trainings suggested by ArcelorMittal University\nSupport a safety-focused and inclusive work environment\nHow we recruitWe are committed to building an inclusive organisation where everyone feels supported and valued. We need people with all sorts of backgrounds, experiences, perspectives and personalities to help us decarbonise the life of steel. Every person who applies to join ArcelorMittal Europe Long Products receives equal employment opportunities, regardless of ethnicity, gender, sexual orientation, age, disability, socioeconomic background, and any other protected status.\nWe thank all those who apply.\nWe will only contact selected applicants to complete a technical assessment.","description_format":"text","description_chars":4658,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":true}]},"benefits":[],"hiring_locations":[{"name":"Luxembourg","iso":"LU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mining","Metals & Metallurgy","Iron Ore"],"lifecycle":[{"event":"open","at":"2026-10-12T17:18:05Z"}],"visa":[],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":1,"p_active":0.594,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:1","stale_co","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/arcelormittal-data-scientist","json_url":"https://alion.io/job/arcelormittal-data-scientist.json","meta":{"generated_at":"2026-10-13T17:12:04Z","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":26214,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":13461},"rest":"https://alion.io/mcp/rest/get_company?id=13461"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Farcelormittal-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%2Farcelormittal-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%2Farcelormittal-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/arcelormittal-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Farcelormittal-data-scientist"}]}