{"id":4061539,"url":"https://alion.io/job/dell-technologies-advisor-data-science-4","title":"Advisor, Data Science","company":{"id":89,"name":"Dell Technologies","domain":"dell.com","url":"https://alion.io/company/dell-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":37,"ghost_share":0.027,"stale_share":0.054,"repost_share":0.108,"time_to_fill_p50_days":10,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Embeddings","optional":false},{"name":"Feature Store","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tokenization","optional":false},{"name":"Feast","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLMOps","optional":true}],"status":"live","first_seen_at":"2026-11-11T03:49:09Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T08:47:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Advisor, Data Science (Feature engineer) - Global Ops Data Science\nDell Technologies is a leader in providing technology infrastructure to its customers in an era increasingly being driven by digital and data. Enabling Dell to satisfy its customers’ needs hinges on executing a world class supply chain, connecting together sales orders with a complex ecosystem of partners and suppliers. Data plays an integral role in this as we digitize and modernize our supply chain. Join our Data science team within Supply chain as a data scientist to solve our most challenging business problems with statistical, predictive and prescriptive approaches, making our decision making faster and more sophisticated. We offer a competitive remuneration package.\nJoin us to do the best work of your career and make a profound social impact as an Advisor, data science Team in Jurong East, Singapore.\nYou will…\nPartner closely with data scientists, ML engineers, and domain experts to design and deliver high-quality features that power ML and GenAI systems\nLead data discovery and feature identification efforts across complex structured and unstructured datasets\nOwn the end-to-end feature engineering lifecycle, including ingestion, transformation, validation, and productionization.\nDesign and implement robust, scalable feature pipelines and services using strong software engineering principles\nBring a software engineering (ML engineering) mindset to data and feature development, ensuring reliability, performance, and maintainability\nLeverage AI-assisted coding tools (e.g., Copilot, LLM-based tools) while maintaining high standards of code review, correctness, and efficiency\nDrive innovation in feature engineering, including embeddings, representation learning, and data-centric AI approaches\nWork with ML engineers to integrate features into training, inference, and real-time decision systems\nMentor junior team members and help establish best practices in feature development and data engineering\nEssential Requirements\nBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field with 5-8 years of experience in ML engineering, data engineering, or data science, with a strong focus on feature engineering\n\nFeature Engineering & Data Discovery (Core Focus)\n\nLead feature identification and engineering across:\nStructured data (SQL, data warehouses, relational systems)\n\nUnstructured data (text, logs, documents, semi-structured sources)\n\nPerform deep exploratory data analysis (EDA) to uncover patterns, anomalies, and predictive signals\n\nApply advanced techniques:\nFeature extraction, transformation, and scaling\nEmbeddings and representation learning\nFeature selection and dimensionality reduction\n\nML Engineering & Software Engineering Excellence\n\nStrong foundation in software engineering practices, including:\nWriting production-quality, modular, testable code\nAPI and service development (for feature serving)\nVersion control, CI/CD, and system reliability\n\nDesign and implement feature pipelines as scalable systems, not just scripts\n\nBuild and maintain data/feature services for both batch and real-time use cases\n\nCollaborate on model training and inference pipelines, ensuring seamless integration\n\nUnstructured Data & GenAI Feature Development\n\nDevelop features for NLP and GenAI applications, including:\nText preprocessing, tokenization, and normalization\nEmbedding generation and similarity search features\n\nSupport and enhance RAG pipelines and LLM-based workflows with high-quality data representations\n\nContribute to agentic systems, especially around context construction, state, and data grounding\n\nData Engineering & Feature Pipelines\n\nBuild scalable and reusable feature pipelines using modern data processing frameworks\n\nEnsure pipelines are:\nFault-tolerant and performant\nObservable and testable\n\nImplement efficient data transformations for large-scale datasets\n\nIn-depth hands-on experience in Enterprise Database Management\n\nExperience with Airflow data pipelines for orchestrating and scheduling feature and data workflows\n\nCoding Assist & Code Quality\n\nUse AI-assisted coding tools to enhance productivity\n\nCritically review and validate tool-generated code, ensuring correctness, efficiency, and security\n\nMaintain high standards of code quality, testing, and documentation\n\nData Quality, Validation & Monitoring\n\nImplement robust data validation and feature quality checks\n\nMonitor:\nData consistency\nFeature drift\nPipeline health\n\nEnsure traceability and reproducibility of features used across models\n\nCollaboration & Technical Leadership\n\nAct as a bridge between data science and ML engineering, aligning feature design with modeling needs\n\nProvide technical leadership on feature engineering best practices\n\nMentor I5/I6 team members and contribute to design and code reviews\n\nInnovation & Applied Research\n\nDrive innovation in:\nFeature engineering frameworks and tooling\nData-centric AI and representation learning\n\nExperiment with and adopt emerging approaches in GenAI, embeddings, and feature stores\n\nLead or contribute to prototyping and innovation initiatives\n\nNice to Have\nProven experience:\n\nBuilding production-grade data pipelines and feature systems\n\nApplying software engineering best practices to data/ML systems\n\nWorking with large-scale structured and unstructured date\n\n Experience with:\nFeature stores (Feast, Tecton, or similar)\n\nVector databases and embedding pipelines\n\nGraph databases and knowledge graphs\n\nEnterprise database management systems\n\nAirflow or similar workflow orchestration tools\n\n Understanding of:\nAgentic memory architectures (short-term, long-term, contextual memory)\n\nCombining vector, graph, and memory-based approaches for richer AI systems\n\nFamiliarity with:\nMLOps / LLMOps practices\n\nReal-time feature serving architectures\n\nExperience in supply chain or domain-specific analytics\nWho we are\nWe believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.\nDell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.\nDell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.","description_format":"text","description_chars":6641,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Servers & Data Center Hardware","Laptops"],"lifecycle":[{"event":"open","at":"2026-11-11T08:47:55Z"}],"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":10,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T10:10:27Z"},"pay":null,"html_url":"https://alion.io/job/dell-technologies-advisor-data-science-4","json_url":"https://alion.io/job/dell-technologies-advisor-data-science-4.json","meta":{"generated_at":"2026-11-11T10:10:27Z","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":17278,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":89},"rest":"https://alion.io/mcp/rest/get_company?id=89"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdell-technologies-advisor-data-science-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fdell-technologies-advisor-data-science-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fdell-technologies-advisor-data-science-4"},{"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/dell-technologies-advisor-data-science-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdell-technologies-advisor-data-science-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4061539}},{"tool":"search_jobs","arguments":{"company":"dell.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4061539},"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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