{"id":2905114,"url":"https://alion.io/job/maaden-principal-specialist-data-science-artificial-intelligence","title":"Principal Specialist, Data Science & Artificial Intelligence","company":{"id":2058394,"name":"Maaden","domain":"maaden.com","url":"https://alion.io/company/maaden-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":129000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-31T16:07:17Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain.We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.\nWhy This Role Matters\nThis role leads advanced data science and analytics initiatives within the Agentic AI department, translating business problems into scalable analytical solutions, AI-enabled insights, predictive models, and decision intelligence products. It helps build enterprise capabilities that use trusted data, machine learning, automation, and agentic AI concepts to improve productivity, operational performance, and business decision-making.\nWhat You Will Deliver\nLead Data Science and Analytics Solutions\nTranslate business priorities, operational challenges, and use cases into clear data science problem statements, analytical approaches, and measurable outcomes.\nDesign and deliver predictive, prescriptive, diagnostic, and exploratory analytics solutions that support decision-making across business and operational domains.\nDevelop machine learning models, statistical analyses, simulations, optimization approaches, and advanced analytics products using enterprise data assets.\nEnsure analytical outputs are interpretable, actionable, repeatable, and aligned with business value, adoption needs, and governance requirements.\nEnable Agentic AI and Intelligent Analytics\nSupport the development of agentic AI use cases by defining data, model, workflow, evaluation, and decision-support requirements.\nCollaborate with AI engineers, platform teams, data engineers, and business stakeholders to embed analytics and machine learning into autonomous or semi-autonomous workflows.\nDefine evaluation approaches for AI-enabled insights, model performance, business impact, human oversight, and continuous improvement.\nPromote responsible use of agentic AI by ensuring transparency, explainability, control, auditability, and fit-for-purpose model deployment.\nAdvance Data Products and Decision Intelligence\nCreate reusable analytical assets, data science patterns, feature logic, model components, and decision intelligence products that can scale across business domains.\nPartner with data platform, governance, and architecture teams to ensure data products are trusted, well-documented, reusable, and operationally maintainable.\nIntegrate analytics into dashboards, workflows, applications, copilots, and AI agents where decision support can improve speed, quality, and productivity.\nMaintain clear documentation covering assumptions, data sources, model logic, limitations, controls, and expected business usage.\nEnsure Model Quality, Governance and Value Realization\nApply appropriate data science governance practices for model validation, performance monitoring, bias checks, versioning, deployment readiness, and lifecycle management.\nDefine success measures, impact metrics, adoption criteria, and benefit tracking approaches for analytics and AI-enabled solutions.\nMonitor solution performance after deployment and recommend improvements based on usage, feedback, model drift, data quality, and business impact.\nEnsure data science and analytics solutions remain compliant with data governance, cybersecurity, privacy, and responsible AI expectations.\nProvide Technical Leadership and Stakeholder Advisory\nProvide expert guidance to analysts, data scientists, engineers, and business teams on analytical methods, model design, evaluation, and adoption.\nAdvise stakeholders on what analytics or AI can realistically solve, required data readiness, implementation complexity, and expected value.\nReview analytical designs, model outputs, assumptions, and recommendations to ensure technical quality and business relevance.\nCommunicate insights, risks, limitations, and recommended actions clearly to technical, operational, and executive stakeholders.\nWhat Success Looks Like\nBusiness problems are translated into clear data science use cases, analytical approaches, and measurable value outcomes.\nPredictive, prescriptive, and decision intelligence solutions are delivered with strong technical quality and practical business relevance.\nAgentic AI use cases are supported with trusted data, robust models, evaluation methods, controls, and human oversight where required.\nAnalytics and AI products are reusable, documented, governed, monitored, and aligned with responsible AI expectations.\nStakeholders receive clear insights, recommendations, and decision support that improve productivity, performance, and adoption.\nMinimum Qualifications\nBachelor’s Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Information Systems, or a related discipline. Master’s Degree is preferred.\nExperience\nMinimum 10 years of experience in data science, advanced analytics, machine learning, AI solution delivery, decision intelligence, or data product development.\nStrong experience translating business requirements into analytical solutions, developing models, evaluating performance, and deploying analytics into operational workflows.\nExperience with agentic AI, generative AI, MLOps, responsible AI, cloud data platforms, or enterprise analytics environments is preferred.\nSkills That Matter\nAdvanced data science, machine learning, statistical modeling, optimization, simulation, and predictive analytics\nAgentic AI concepts, generative AI, decision intelligence, AI workflow design, and model evaluation\nPython, SQL, analytics platforms, notebooks, visualization tools, cloud data platforms, and MLOps practices\nData preparation, feature engineering, model validation, performance monitoring, drift detection, and lifecycle management\nResponsible AI, explainability, transparency, bias awareness, human oversight, and governance controls\nData product thinking, reusable analytical assets, documentation, scalability, and operationalization\nBusiness problem framing, stakeholder advisory, insight storytelling, and value realization tracking\nAbility to coach teams, review analytical work, manage ambiguity, and communicate with technical and executive audiences\nBenefits\n1. Career Growth\n2. Competitive Salaries\n3. Comprehensive Package\n4. Inclusive Work Environment\n5. Work-Life Balance\n6. Employee wellness","description_format":"text","description_chars":6642,"description_truncated":false,"requirements":{"experience_years_min":10,"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":false,"industries":["Natural Resources","Mining"],"lifecycle":[{"event":"open","at":"2026-10-20T07:36:55Z"}],"visa":[],"liveness":{"score":79,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.877,"p_room":0.9,"age_days":12,"expected_fill_days":25,"reasons":["conf:1","velocity","win:mid"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/maaden-principal-specialist-data-science-artificial-intelligence","json_url":"https://alion.io/job/maaden-principal-specialist-data-science-artificial-intelligence.json","meta":{"generated_at":"2026-10-31T16:39:44Z","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":26071,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":2058394},"rest":"https://alion.io/mcp/rest/get_company?id=2058394"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmaaden-principal-specialist-data-science-artificial-intelligence"},{"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%2Fmaaden-principal-specialist-data-science-artificial-intelligence"},{"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%2Fmaaden-principal-specialist-data-science-artificial-intelligence"},{"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/maaden-principal-specialist-data-science-artificial-intelligence\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmaaden-principal-specialist-data-science-artificial-intelligence"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2905114}},{"tool":"search_jobs","arguments":{"company":"maaden.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2905114},"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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