{"id":3977965,"url":"https://alion.io/job/haber-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3862980,"name":"Haber","domain":"haberwater.com","url":"https://alion.io/company/haberwater","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Digital Twin","optional":true},{"name":"Embeddings","optional":true},{"name":"ISO 42001","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenCV","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:35:35Z","employer_posted_date":null,"last_verified_at":"2026-11-09T18:35:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"At Haber, we are changing how industries run by combining automation with intelligent decision making. As a Senior Data Scientist, you will build and own the machine learning systems behind our products - Elixa, Kaiznn, Mount Fuji and our upcoming Fibre Morphology solution.\n\nYou will work with time-series sensor data coming from live plants, and build models for quality prediction, process optimisation, anomaly detection, forecasting and root cause analysis. You will also lead a small team of 2 to 4 data scientists and set the technical direction for how we build and deploy models.\n\nThis is a hands-on leadership role. Our models do not stay in notebooks. They run in operating plants, where a wrong prediction costs real money, water and energy. We are looking for someone who has built a model, put it in production, seen it degrade, and fixed the system behind it.\n\nKey Responsibilities:\nBuild AI and ML solutions for quality prediction, process optimisation, anomaly detection, forecasting, root cause analysis and decision support\nWork with time-series sensor data from live plants, and handle the real problems that come with it - sensor drift, missing data, changing conditions and limited labels\nOwn the full lifecycle: data collection, cleaning, feature engineering, model building, validation, explainability, deployment and monitoring\nTake models into production and keep them healthy - pipelines, versioning, monitoring, drift detection, retraining and rollback\nOwn the technical direction for the data science team and decide what gets built, what gets reused and what gets retired\nLead and mentor 2 to 4 data scientists through code reviews, design reviews and day-to-day guidance\nContribute to AI system design - data access layers, model services, APIs and cloud deployment on AWS\nBuild optimisation and recommendation layers that act on model output in real time, such as setpoint recommendation for plant operations\nWork on Generative AI and Agentic AI solutions using LLMs, RAG, tool calling and knowledge graphs, as these become part of our product\nWork closely with domain experts, product, software, cloud and engineering teams to turn industrial problems into working solutions\nStay current with research in machine learning, signal processing and industrial optimisation\n\nMust Have:\n8 to 10 years of experience in Data Science and Machine Learning, with real production experience\nBachelors or Masters in Engineering, Computer Science, Data Science, Mathematics, Statistics or a related field\nStrong Python and SQL, with Pandas, NumPy and Scikit-learn\nStrong foundation in statistics, probability, mathematics and optimisation\nStrong experience in time-series analysis and forecasting - this is the core of our work\nMachine learning: regression, classification, clustering, anomaly detection and ensemble models\nProven experience deploying and maintaining models in production, including monitoring, drift detection and retraining\nMLOps and production tools: Docker, Git, CI/CD, MLflow, FastAPI or similar\nAWS for deployment and monitoring - S3, Lambda, SageMaker, CloudWatch\nWorking knowledge of deep learning using PyTorch or TensorFlow, especially for time-series problems\nModel explainability using SHAP, feature importance or similar methods\nExperience mentoring or leading other data scientists\nAbility to work independently and take a project from idea to production\nGood communication skills and comfort working with people who are not data scientists\n\nGood to Have:\nExperience in manufacturing, chemicals, pulp and paper, water, energy, pharma, metals or similar industrial and process environments\nGenerative AI: LLMs, prompt engineering, RAG, embeddings and vector databases\nAgentic AI: multi-agent systems, tool and function calling, and Model Context Protocol (MCP)\nLangGraph, LangChain or similar frameworks; Knowledge Graphs or Neo4j\nAWS Bedrock and RDS\nComputer vision: image preprocessing, object detection, classification, segmentation, OpenCV, YOLO, CNNs or Vision Transformers\nOptimisation, control theory, reinforcement learning or operations research\nSignal processing fundamentals\nCausal analysis, industrial digital twins, or AI governance and ISO 42001 exposure\nExperience building system design, APIs and microservices for production AI systems\nSkills\nData Science, Machine Learning, Time Series","description_format":"text","description_chars":4352,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Industrial AI","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-11-09T18:35:35Z"}],"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":29,"reasons":["seen:0","win:early"],"computed_at":"2026-11-09T20:53:14Z"},"pay":null,"html_url":"https://alion.io/job/haber-senior-data-scientist","json_url":"https://alion.io/job/haber-senior-data-scientist.json","meta":{"generated_at":"2026-11-09T20:53:14Z","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":8582,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"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":3862980},"rest":"https://alion.io/mcp/rest/get_company?id=3862980"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhaber-senior-data-scientist"},{"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%2Fhaber-senior-data-scientist"},{"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%2Fhaber-senior-data-scientist"},{"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/haber-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhaber-senior-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3977965}},{"tool":"search_jobs","arguments":{"company":"haberwater.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3977965},"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. Docs: https://alion.io/developers"}}