{"id":2686160,"url":"https://alion.io/job/zartis-senior-data-scientist","title":"Senior Data Scientist","company":{"id":8985,"name":"Zartis","domain":"zartis.com","url":"https://alion.io/company/zartis","size_band":"201-500","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":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"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":"Claude Code","optional":false},{"name":"dbt","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"AWS","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"OpenSearch","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-16T07:21:16Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T14:32:35Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The company and our mission:\nZartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.\nOur teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.\nWith engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.\nWe are looking for a Senior Data Scientist to work on a project in the reputation risk intelligence industry.\nThe project:\nOur teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.\nYou will be part of a small, ambitious team building an AI-native intelligence platform that combines news, social media, advanced AI and data science to help organisations identify emerging narratives, understand what is driving them and respond to reputational risk. Its intelligence layer turns millions of signals into meaningful narratives, reputation scores and actionable insights. You will work alongside the Lead Data Scientist, who provides the overall data science direction, and collaborate closely with Product and Engineering, taking ownership of specific workstreams from problem definition and experimentation through to production delivery.\nWe are looking for an experienced, hands-on and pragmatic data scientist who combines strong analytical thinking with the engineering skills and judgement to deliver meaningful outcomes, and who can get up to speed quickly, take ownership, work independently and deliver robust, production-ready solutions with measurable impact.\nWhat you will do:\nReputation scoring: improve and validate the models powering reputation scores, building rigorous evaluation frameworks to ensure scores are accurate, stable, responsive and explainable.\nNarrative intelligence: advance how related content is identified and clustered into meaningful narratives, using embeddings, graph-based clustering and human-labelled evaluations to improve accuracy and relevance.\nAI-powered scoring signals: experiment with and integrate new signals, including LLM-based relevance classification and source credibility, to strengthen the quality of the intelligence.\nTrust and integrity: develop approaches to identify coordinated activity, impersonation, scams and other signals that could distort the understanding of reputational risk.\nData quality and reliability: build automated validation, monitoring and safeguards to ensure the intelligence delivered is trustworthy and robust.\nOwn agreed deliverables end to end, design experiments, challenge assumptions, demonstrate measurable improvements and contribute production code.\nWhat you will bring:\n5+ years of applied data science experience, including a proven track record of developing, deploying and monitoring models or scoring systems in production.\nStrong Python and SQL expertise, working with large-scale, complex datasets.\nPractical experience with LLMs, including classification, prompt engineering, structured outputs and rigorous model evaluation.\nExperience with clustering and graph-based techniques, embeddings, similarity measures and evaluating models where perfect ground truth doesn't exist.\nStrong statistical foundations, including sampling, confidence intervals, calibration, experiment design and human-labelling methodologies.\nProduction engineering experience, comfortable contributing code through pull requests and working with TypeScript/Node.js and dbt alongside Python.\nHands-on experience using AI coding assistants, such as Claude Code or equivalent tools, to accelerate development, experimentation, testing and delivery while maintaining high engineering standards.\nExcellent communication skills, translating complex analytical findings into clear recommendations for Product, Engineering and business stakeholders.\nNice to have:\nExperience in social media intelligence, news analytics, reputation monitoring, trust and safety or fraud detection.\nExperience with time-series modelling, anomaly detection, signal smoothing and decay functions.\nFamiliarity with AWS, OpenSearch, dbt, LangChain or Langfuse.\nExperience detecting coordinated or inauthentic online behaviour.\nA track record of using AI-assisted development to materially improve personal productivity and delivery speed.\nWhat we offer:\n\n100% Remote Work\n\nWFH allowance: Monthly payment as financial support for remote working.\n\nCareer Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.\n\nTraining: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.\n\nMentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.\n\nZartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.\n\nMulticultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.","description_format":"text","description_chars":5943,"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":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Cyprus","iso":"CY","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Netherlands","iso":"NL","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Portugal","iso":"PT","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-16T07:47:24Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":37,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/zartis-senior-data-scientist","json_url":"https://alion.io/job/zartis-senior-data-scientist.json","meta":{"generated_at":"2026-10-17T15:32:50Z","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":21068,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":8985},"rest":"https://alion.io/mcp/rest/get_company?id=8985"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzartis-senior-data-scientist"},{"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%2Fzartis-senior-data-scientist"},{"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%2Fzartis-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/zartis-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzartis-senior-data-scientist"}]}