{"id":2508148,"url":"https://alion.io/job/packagex-senior-ai-data-engineer-strategy-operational-intelligence","title":"Senior AI & Data Engineer - Strategy & Operational Intelligence","company":{"id":180056,"name":"PackageX","domain":"packagex.io","url":"https://alion.io/company/packagex","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","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":["Islamabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Keras","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-14T06:04:57Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T22:49:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About PackageX\nPackageX is building the Physical Logistics Execution Platform for enterprise teams operating across manufacturing sites, distribution centers, warehouses, retail locations, and logistics-heavy environments.\nOur platform uses Vision AI, workflow automation, mobile execution, and integrations to help companies digitize, execute, and verify physical operations at the point of work, creating trusted evidence of what happened across their operations.\nOur operating model is simple: Execution. Verification. Evidence.\nRole Overview\nPackageX is looking for a Senior AI & Data Engineer - Strategy & Operational Intelligence who doesn’t just build models, but digs into the data to find what others miss: hidden patterns, fee and cost anomalies, and connections across datasets that change how the business makes decisions.\nThis is not a role for someone who maintains predefined dashboards. It’s for someone who asks “why” before “how”, spots patterns before they become obvious, and can turn raw data into a clear story for leadership, product, and operations teams.\nWorking across our platform data, customer operations, and the workflows running on warehouse and receiving floors, you’ll mine large datasets, build and deploy ML models, design the pipelines that feed them, and put the findings in front of the people who need to act on them.\nThis is a senior, hands-on role. The right person is a rigorous data scientist, a capable engineer, and a strong communicator at the same time. This is more than analysis or model building. You’ll be a strategic intelligence partner across the company, and you’ll own your work from raw data to production system to boardroom slide.\nYou’ll also bring a technical product owner mindset. That means deciding which problems are worth solving, defining what success looks like before you build, and treating every model, pipeline, and dashboard as a product with users, a roadmap, and adoption to earn.\nHow This Role Works\nThis is one role with two modes, and you’ll move between them constantly, often inside the same week.\nInsight mode. You are in the data: mining operational and platform datasets, finding anomalies and correlations, building the analysis and dashboards that explain them, and presenting what you found to leadership, operations, and partner teams before they think to ask.\nBuild mode. You are in the code: designing, training, and deploying ML and NLP models, building the ETL pipelines and data models underneath them, and exposing them as production services the platform can rely on.\nAcross both, think like a product owner. Before you build, you define the business problem, the user, and the metric that proves it worked. You prioritise ruthlessly, say no to work that won’t move a decision, and stay with what you shipped until people actually use it.\nBoth halves are required. Shipping production ML systems is a gate for this role, not a bonus, and so is the ability to find and communicate business insight. If you are a strong modeller who has never deployed to production, an analyst who has only worked from someone else’s dashboard spec, or someone who needs a PM to tell you what to build next, this is not the right role.\nWhat You’ll Own\nRoadmap and prioritisation for data science and ML work, based on business impact.\nProblem definition, requirements, and success metrics for every data product you build.\nInsight generation across operational, customer, and platform data.\nDetection of fee anomalies, cost drivers, and cross-domain patterns that affect business decisions.\nML and deep learning models across NLP and predictive analytics, from design through deployment.\nFrameworks and services for ML systems that are reproducible, performant, and production-ready.\nETL pipelines, data warehouses, and data models that power analytics at scale.\nData services exposed through RESTful APIs and deployed on AWS or GCP.\nAnalytics tools and dashboards used by leadership, operations, and partner teams.\nInsight presentations and data narratives for technical and non-technical audiences.\nData quality, documentation, and engineering standards across your work.\nInternal process improvements that automate manual data work and improve scalability.\nAdoption and impact of your models and dashboards after launch, not just delivery.\nWhat You’ll Do\nTranslate business and operational problems into scoped data products with clear requirements, users, and success metrics.\nOwn and prioritise the data science backlog with stakeholders, and decide what to build, defer, or drop.\nMine complex, large-scale datasets to uncover hidden patterns, fee anomalies, and cross-domain correlations.\nSurface insights to leadership, operations, and partner teams before the questions are asked.\nBuild analytics tools and dashboards in Tableau, Power BI, Matplotlib, and Seaborn that turn complex data into action.\nPresent findings clearly and confidently to both technical and non-technical audiences.\nDesign, train, and deploy scalable ML and DL models for NLP and predictive analytics use cases.\nApply current modelling techniques to logistics and operational problems across the PackageX platform.\nArchitect and maintain ETL pipelines, data warehouses, and data models.\nAutomate manual workflows, optimise data delivery, and redesign infrastructure for scale.\nBuild and expose data services via RESTful APIs using Django or Flask, deployed on AWS or GCP with Docker.\nWork with SQL Server, MongoDB, and other databases to manage enterprise-scale datasets.\nFollow engineering best practices: unit testing, design and code reviews, documentation, and CI/CD.\nTrack adoption and business impact of shipped models and dashboards, and iterate or retire what isn’t used.\nPartner with data analysts, ML engineers, and business stakeholders so models serve both technical and strategic needs.\nTurn around bug fixes and enhancement requests quickly, and deliver on time with minimal supervision.\nIdeal Background\nAI and data science\n5+ years as a data scientist, ML engineer, or data engineer working on production-grade systems.\nExpert-level Python (Pandas, NumPy) and SQL for data processing, analysis, and complex querying.\nHands-on experience with TensorFlow, Keras, and/or PyTorch.\nDeep understanding of NLP and modern deep learning algorithms.\nA track record of finding insights that changed a business decision, not only building models to spec.\nData engineering and backend\nStrong backend experience with Django and Flask, including building and integrating RESTful APIs.\nExperience with data warehousing, ETL pipeline design, and data modelling across relational, NoSQL, and large-scale datasets.\nExperience with GitHub, AWS, GCP, Docker, and CI/CD tooling.\nExperience developing and integrating Tableau and/or Power BI, plus fluency with Matplotlib, Seaborn, and similar libraries.\nHow you work\nStrong communication with business leaders, product teams, and operations, not only other data people.\nProactive and self-directed: you go looking for the question, not just the answer.\nComfortable creating structure in fast-moving, ambiguous environments.\nStrong curiosity about logistics, supply chain, warehousing, and physical operations.","description_format":"text","description_chars":7210,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-10-14T08:13:33Z"}],"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":30,"reasons":["conf:2","win:early"],"computed_at":"2026-10-15T01:13:57Z"},"pay":null,"html_url":"https://alion.io/job/packagex-senior-ai-data-engineer-strategy-operational-intelligence","json_url":"https://alion.io/job/packagex-senior-ai-data-engineer-strategy-operational-intelligence.json","meta":{"generated_at":"2026-10-15T01:13:57Z","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":1527,"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":180056},"rest":"https://alion.io/mcp/rest/get_company?id=180056"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpackagex-senior-ai-data-engineer-strategy-operational-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%2Fpackagex-senior-ai-data-engineer-strategy-operational-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%2Fpackagex-senior-ai-data-engineer-strategy-operational-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/packagex-senior-ai-data-engineer-strategy-operational-intelligence\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpackagex-senior-ai-data-engineer-strategy-operational-intelligence"}]}