{"id":2564147,"url":"https://alion.io/job/honeywell-sr-advanced-data-scientist-2","title":"Sr Advanced Data Scientist","company":{"id":15856,"name":"Honeywell","domain":"honeywell.com","url":"https://alion.io/company/honeywell-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":83,"open_postings":87,"ghost_share":0,"stale_share":0.874,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-19T05:45:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-13T18:05:24Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-19T23:57:59Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"We are seeking an experienced Advanced Data Scientist to join our AI and Analytics product development team. In this role, you will drive the research, design, development, and deployment of advanced AI-powered solutions leveraging Generative AI, Machine Learning, Deep Learning, and modern Data Engineering technologies. You will work on high-value, complex business challenges, transforming large-scale industrial and enterprise data into actionable insights and intelligent products.\nThe ideal candidate combines strong expertise in AI/ML model development with robust software engineering and data engineering capabilities, enabling the delivery of scalable, production-grade solutions from concept through deployment.\n Key Responsibilities\nResearch and apply advancements in Artificial Intelligence, including:Generative AI and Large Language Models (LLMs)\nCausal AI\nKnowledge Graphs\nMachine Learning and Deep Learning\n\nDesign, develop, and deploy scalable AI/ML solutions that solve complex customer and business problems.\nLead research initiatives, proof-of-concepts, pilot programs, and rapid prototyping activities to evaluate emerging technologies and product opportunities.\nBuild and optimize data pipelines, data engineering workflows, and analytics platforms to support machine learning applications.\nProcess, transform, and prepare structured and unstructured data for advanced analytics and AI model consumption.\nCollaborate with product managers, domain experts, software engineers, architects, and stakeholders to deliver end-to-end solutions.\nPerform problem analysis, solution design, development, integration, testing, deployment, maintenance, and support of analytics and AI products.\nEstablish best practices, standards, and governance processes for AI/ML model development, deployment, monitoring, and lifecycle management.\nDevelop high-quality, maintainable, and testable software using modern engineering practices including automated unit testing and CI/CD.\nEvaluate and adopt productivity-enhancing tools, frameworks, and emerging technologies to accelerate innovation and delivery.\n Required Qualifications\nBachelor's or master’s degree in Engineering, Applied Mathematics, Statistics, or a related discipline.\n8 to 14 years of overall experience with at least 4 years of relevant experience in AI/ML, Analytics, Data Science, or Data Engineering product development.\nStrong analytical and problem-solving skills with the ability to derive insights from complex data.\nExperience developing and deploying machine learning or AI-based products in production environments.\nExperience working in agile product development organizations.\nTechnical Skills\nArtificial Intelligence & Machine Learning\nGenerative AI\nLarge Language Models (LLMs)\nMachine Learning\nDeep Learning\nStatistical Modeling\nPredictive Analytics\nKnowledge Graphs\nCausal AI\nModel Deployment and Monitoring\nProgramming\nAdvanced Python\nPySpark\nData Engineering\nData Processing and Transformation\nData Pipeline Development\nData Preparation for ML Workloads\nPython Packaging and Deployment\nSoftware Engineering Practices\nAutomated Unit Testing (PyTest)\nCI/CD and DevOps Practices\nGit / Bitbucket\nGitHub Copilot\nScalable and Performant Application Design\nPreferred Qualifications\nExperience working with Industrial Automation, Manufacturing, Process Control, or Industrial IoT data.\nExperience supporting fast-paced product engineering and innovation teams.\nExposure to MLOps, AI platform development, and large-scale distributed data processing.\nStrong communication, stakeholder management, and cross-functional collaboration skills.\nDemonstrated ability to learn, explore, and adopt emerging technologies aligned with organizational objectives.","description_format":"text","description_chars":3732,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Smart Building & Cities","Industrial Automation","Aerospace 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