{"id":1168038,"url":"https://alion.io/job/caterpillar-lead-data-scientist-2","title":"Lead Data Scientist","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":26,"ghost_share":0,"stale_share":0.962,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-14T06:34:16Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"Gradio","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"NLP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T04:59:10Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-14T12:16:36Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nJob Summary\nProvides technical leadership in applying Data Science, AI, and Machine Learning to transform large-scale data into actionable insights, intelligent automation, and business value across Packaging and related enterprise functions.\nWhat You Will Do\nLead the definition of business requirements, analytical scope, and solution architecture; translate business needs into scalable technical solutions.\nCollaborate with stakeholders, conduct workshops, and communicate actionable insights through dashboards, visualizations, and executive presentations.\nLead the design, development, deployment, and optimization of AI/ML, deep learning, computer vision, and generative AI solutions to address complex packaging, supply chain, logistics, and engineering challenges.\nLead large-scale data gathering, data mining, feature engineering, and data processing activities; create scalable data models and pipelines.\nExplore, promote, and implement AI-driven capabilities using LLMs, agentic AI frameworks, NLP, semantic search, and advanced analytics techniques.\nDrive the development and deployment of predictive, optimization, quality, sustainability, and automation solutions using machine learning and data science methodologies.\nEstablish MLOps, model governance, monitoring, retraining, and continuous improvement processes to support reliable production deployment of AI solutions.\nResearch and evaluate emerging AI technologies, algorithms, and frameworks to improve solution effectiveness and business impact.\nWhat You Have\nBusiness Partnership & Requirements Analysis\nKnowledge of business analysis techniques and stakeholder engagement practices; ability to translate business needs into scalable data science and AI solutions.\nLevel: Extensive Experience\nEngages with business leaders, clients, and stakeholders to understand strategic priorities.\nLeads workshops, requirement-gathering sessions, and solution discovery activities.\nDefines analytical scope, success criteria, and technical requirements for AI initiatives.\nTranslates complex business challenges into data science, machine learning, and automation solutions.\nEffectively communicates technical concepts to executive, technical, and business audiences.\nPartners with cross-functional teams to drive adoption and business value realization.\nQuery & Database Access Tools\nKnowledge of data management systems and data access technologies; ability to retrieve, transform, and optimize enterprise data for analytics and AI applications.\nLevel: Extensive Experience\nWrites, optimizes, and supports complex SQL queries across multiple databases and data sources.\nWorks extensively with structured and unstructured data environments.\nDesigns data retrieval and transformation strategies supporting AI and analytics workloads.\nConsults on query optimization, performance tuning, and database best practices.\nUtilizes big data technologies and distributed data processing frameworks.\nEvaluates database technologies and architectures supporting AI initiatives.\nData Analysis & Statistical Modeling\nKnowledge of statistical methods, predictive analytics, and data-driven decision-making; ability to transform data into meaningful business insights.\nLevel: Working Knowledge\nPerforms advanced statistical analysis, predictive modeling, and machine learning experimentation.\nUses statistical techniques to identify patterns, trends, anomalies, and business opportunities.\nTranslates complex analytical findings into actionable business recommendations.\nDevelops metrics, KPIs, and analytical frameworks to support strategic decisions.\nEvaluates model accuracy, effectiveness, and business impact using statistical methodologies.\nCommunicates analytical insights to both technical and non-technical stakeholders.\nArtificial Intelligence & Machine Learning\nKnowledge of machine learning, deep learning, generative AI, computer vision, and agentic frameworks; ability to develop, deploy, and manage AI-based solutions that drive business outcomes.\nLevel: Working Knowledge\nLeads the deployment of machine learning, deep learning, computer vision, and generative AI solutions.\nDevelops and implements LLM-based applications using agentic AI, NLP, embeddings, summarization, and semantic search technologies.\nSelects, trains, evaluates, and optimizes models using TensorFlow, PyTorch, Scikit-Learn, PySpark MLlib, and related frameworks.\nMonitors model performance and implements retraining, scalability, and error-handling strategies.\nCoaches and mentors teams on AI technologies, methodologies, and best practices.\nApplies AI solutions to solve complex packaging, logistics, engineering, and supply chain business challenges.\nProgramming Languages & Software Development\nKnowledge of programming concepts, software development practices, and application development frameworks; ability to build scalable AI-enabled applications and enterprise solutions.\nLevel: Working Knowledge\nDemonstrates expertise in Python and SQL.\nDevelops scalable AI applications using Streamlit, Gradio, and cloud-native architectures.\nIntegrates AI services with enterprise business systems and backend platforms.\nGuides teams in selecting development tools, frameworks, and coding standards.\nOversees development activities to ensure quality, maintainability, and performance.\nCloud & Data Engineering\nKnowledge of cloud platforms, data engineering practices, and enterprise-scale distributed systems; ability to design and implement scalable AI and analytics solutions.\nLevel: Working Knowledge\nWorks with relational and non-relational databases, data warehouses, big data platforms, and caching technologies.\nUtilizes cloud-native architectures to support AI, analytics, and automation solutions.\nEvaluates emerging cloud technologies and recommends improvements.\nMLOps & Production Deployment\nKnowledge of model lifecycle management, MLOps frameworks, and deployment architectures; ability to operationalize AI solutions at enterprise scale.\nLevel: Working Knowledge\nBuilds automated deployment, monitoring, governance, and model management solutions.\nEnsures the scalability, reliability, security, and maintainability of production AI systems.\nDevelops monitoring strategies to track model drift, performance degradation, and operational issues.\nDrives continuous improvement of AI operations and deployment methodologies.\nDomain Expertise - Packaging, Supply Chain & Logistics\nKnowledge of packaging engineering, supply chain, logistics, transportation, procurement, or manufacturing operations; ability to apply AI/ML technologies to business challenges in these areas.\nLevel: Working Knowledge\nApplies AI/ML techniques across relevant enterprise domains.\nUnderstands operational workflows, business processes, and optimization opportunities within industrial environments.\nDevelops AI-driven solutions for quality prediction, defect detection, optimization modeling, sustainability, and automation.\nLeverages domain expertise to accelerate solution adoption and business impact.\nCollaborates with engineering and business teams to identify high-value AI opportunities.\nProvides technical leadership on AI initiatives supporting Packaging and Supply Chain transformation.\nRequired Qualifications\nBachelor’s or Master’s degree in Engineering or Computer Science; Data Science, Artificial Intelligence, Statistics, or a related field preferred.\n12+ years of professional experience, including at least 2 years in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.\nDemonstrated experience deploying enterprise-scale AI/ML solutions in production environments.\nStrong communication, stakeholder management, leadership, and collaboration abilities.\nExperience in Packaging, Supply Chain, Logistics, Transportation, Procurement, or related industrial domains preferred.\nWillingness to support global teams and business operations as needed.\nCaterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status. However, as a global company, Caterpillar offers many job opportunities outside India, which can be found through our employment website at www.caterpillar.com/careers.\nWhat You Will Get:\nOur goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers, who build a better world. Here, you earn more than just a wage. Because we value your performance, we offer a total rewards package that provides day-one benefits along with the potential for a variable bonus. Additional benefits include paid annual leave, flexi leave, medical coverage, and insurance, prorated based on hire date.\nFinal Details:\nPlease frequently check the email associated with your application, including your junk/spam folder, as this is the primary method of correspondence. If you wish to know the status of your application, please use the candidate login on our career website, as it will reflect any updates to your status.\nIf you are interested in joining our team, please apply using an English version of your CV. We look forward to meeting you!\nThis job description is intended as a general guide to the duties of this position and for the purpose of establishing the specific salary grade. It is not designed to contain, or be interpreted as, an exhaustive summary of all responsibilities, duties, and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization.\nAbout Caterpillar\nCaterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. For nearly 100 years, we’ve helped customers build a better, more sustainable world and have remained committed to contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.\nThis position requires working onsite five days a week.Visa Sponsorship is not available for this position.Posting Dates:\nSeptember 24, 2026 - October 1, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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