{"id":2632289,"url":"https://alion.io/job/aramex-dt-lead-data-science","title":"D&T Lead - Data Science","company":{"id":176076,"name":"Aramex","domain":"aramex.com","url":"https://alion.io/company/aramex-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tokenomics","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-15T16:31:15Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T16:33:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Purpose of the Job\nThe Lead - Data Science is a senior hands-on role within Data & Analytics, responsible for designing, building, deploying, and operationalizing end-to-end AI/ML and Generative/Agentic AI solutions that drive business value. The role leads initiatives from experimentation to scalable, production-grade deployment on GCP (Vertex AI).\nKey purpose:\nDeliver end-to-end AI/ML and GenAI/Agentic AI solutions across the MLOps lifecycle.\nBuild scalable training, serving, and monitoring pipelines on GCP/Vertex AI.\nApply Agentic AI frameworks and tokenomics best practices to optimize performance, reliability, and cost\nPartner with business and engineering teams to translate complex problems into production-ready data science solutions, particularly in supply chain and logistics.\nJob Description\nAI/ML & GenAI Solution Delivery\nDesign, develop, and deploy end-to-end AI/ML and GenAI/Agentic AI solutions, owning the complete lifecycle from data preparation and model development to deployment and monitoring.\nBuild and optimize Agentic AI workflows using modern frameworks, applying best practices for agent orchestration, tool use, and multi-step reasoning.\nApply tokenomics expertise to optimize prompt design, context management, and model selection for cost efficiency and performance at scale.\nMLOps & Engineering\nEstablish and maintain robust MLOps practices, including automated model training, versioning, deployment, and continuous monitoring.\nBuild and manage CI/CD pipelines for ML models and AI applications to enable reliable, repeatable, and automated releases.\nDevelop and orchestrate data and ML workflows using Apache Airflow (DAGs) to ensure timely, dependable pipeline execution.\nCloud & Platform\nBuild and operate solutions on GCP, leveraging Vertex AI for model training, tuning, deployment, and serving.\nUtilize GCP services such as AlloyDB, Cloud Run, Cloud Batch, and Cloud SQL to build scalable, performant, and cost-effective solutions.\nImplement monitoring solutions to track model health, performance, drift, and resource utilization in production.\nCollaboration & Ownership\nWork closely with data engineers, product teams, and business stakeholders to understand requirements and deliver fit-for-purpose AI/ML solutions.\nTake end-to-end ownership of assigned initiatives, enhancements, and issues through to closure.\nParticipate in design and architecture discussions, providing practical, solution-oriented recommendations.\nContinuous Improvement\nContribute to improving data science and MLOps standards, best practices, and documentation.\nStay current with advances in GenAI, Agentic AI, and the broader ML tooling ecosystem.\nSupport knowledge sharing and mentor team members on AI/ML best practices.\nJob Requirements - Experience and Education\nCore Technical Skills\n3-4 years of hands-on experience in AI/ML, with demonstrable experience in GenAI and Agentic AI.\nBachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's preferred).\nProven ability to build end-to-end AI/ML solutions, including full MLOps implementation (training, deployment, monitoring, retraining).\nHands-on experience building and managing CI/CD pipelines for ML/AI workloads.\nWorking experience with Vertex AI for model development, training, and serving.\nStrong working experience on Google Cloud Platform (GCP).\nExpertise in tokenomics and best practices for Agentic AI frameworks.\nFamiliarity with GCP services such as AlloyDB, Cloud Run, Cloud Batch, and Cloud SQL.\nHands-on experience building and orchestrating workflows with Apache Airflow (DAGs).\nStrong proficiency in Python for model development, data processing, and automation.\nStrong analytical and troubleshooting skills with the ability to think quickly under pressure.\nAbility to translate ambiguous business problems into workable technical solutions.\nProven track record of driving initiatives to completion with minimal supervision.\nClear communication skills, with the ability to explain complex AI/ML concepts in a simple, practical manner.\nLeadership Behaviors\nBuilding Outstanding Teams\nSetting a clear direction\nSimplification\nCollaborate & break silos\nExecution & Accountability\nGrowth mindset\nInnovation\nInclusion\nExternal focus\nSkills\nAdaptability\nResilience\nAttention To Details\nCommunication Skills\nCross-Functional Collaboration\nChange Management\nProblem Solving\nAnalytical Thinking\nCollaborative Mindset\nProblem Diagnosis and Resolution","description_format":"text","description_chars":4473,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Courier Services"],"lifecycle":[{"event":"open","at":"2026-10-15T16:31:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:4","win:early"],"computed_at":"2026-10-15T21:12:38Z"},"pay":null,"html_url":"https://alion.io/job/aramex-dt-lead-data-science","json_url":"https://alion.io/job/aramex-dt-lead-data-science.json","meta":{"generated_at":"2026-10-15T21:12:38Z","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":32246,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":176076},"rest":"https://alion.io/mcp/rest/get_company?id=176076"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faramex-dt-lead-data-science"},{"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%2Faramex-dt-lead-data-science"},{"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%2Faramex-dt-lead-data-science"},{"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/aramex-dt-lead-data-science\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faramex-dt-lead-data-science"}]}