{"id":146199,"url":"https://alion.io/job/lingaro-fullstack-senior-data-scientist","title":"Fullstack Senior Data Scientist","company":{"id":53383,"name":"Lingaro","domain":"lingarogroup.com","url":"https://alion.io/company/lingaro","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":86,"open_postings":29,"ghost_share":0,"stale_share":0.552,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":95000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":72},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"SFT","optional":false},{"name":"Spark","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-02-16T11:06:33Z","employer_posted_date":"2026-02-16","last_verified_at":"2026-10-17T03:16:10Z","board_verified":true,"closed_at":null,"days_open":242,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":242},"description":"Growth through diversity, equity, and inclusion. As an ethical business, we do what is right - including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.\nWhat You Will Be Doing:\nLead discovery and solution design for GenAI use cases, translating business problems into concrete architectures (LLM decision, RAGs, fine-tuning, agents, guardrails).\n\nBuild end-to-end GenAI applications: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed.\n\nDesign and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.\n\nPerform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including evaluation and A/B testing.\n\nImplement safety, compliance, and governance controls (input/output filters, PII handling, audit logs, human-in-the-loop review where required).\n\nCollaborate with data engineers, product owners, and full-stack developers on scalable architectures, SLAs, and integration with existing enterprise systems.\n\nGather technical requirements and estimate planned work.\n\nMentor other data scientists/engineers in GenAI patterns, code quality, and best practices; contribute to internal libraries, templates, and reusable components.\n\nStay current with GenAI landscape (new open and hosted models, agentic frameworks, evaluation techniques) and perform targeted PoCs to validate them.\n\nWhat We're Looking For:\n6+ years of experience in Data Science/AI engineering.\n\nAt least 4+ years of experience in production-ready Python AI-related code development.\n\nAt least 2+ years of experience in production-ready LLM-related code development, preferably based on the Retrieval-Augmented Generation (RAG) concept.\n\nStrong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications.\n\nStrong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.\n\nDeep understanding of LLM evaluators, validators, and guardrails.\n\nHands-on experience with one or more GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar orchestration stacks.\n\nHands-on experience designing or operating MCP servers/clients for LLM agents\n\nStrong Python skills, including production-grade code, packaging, and testing for data/ML services\n\nSolid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures.\n\nProven ability to collaborate effectively across technical and non-technical teams.\n\nFamiliarity with cloud environments such as Azure (preferred), GCP, or AWS, including AI-related managed services.\n\nFamiliarity with CI/CD, testing, and containerized deployments.\n\nExcellent communication skills in English, with the ability to convey complex technical concepts to various audiences.\n\nWhat WIll Set You Apart:\nExperience in designing and programming ML algorithms and data processing pipelines using Python.\n\nGood understanding of CI/CD and DevOps concepts, with experience working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps).\n\nExperience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.\n\nExperience with agentic AI development frameworks (e.g., BMAD, multi-agent orchestration, spec-driven AI workflows).\n\nMissing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.\nWe offer:\nStable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.\n“Office as an option” model. You can choose to work remotely or in the office.\nWorkation. Enjoy working from inspiring locations in line with our workation policy.\nGreat Place to Work® certified employer.\nFlexibility regarding working hours and your preferred form of contract.\nComprehensive online onboarding program with a “Buddy” from day 1.\nCooperation with top-tier engineers and experts.\nUnlimited access to the Udemy learning platform from day 1.\nCertificate training programs. Lingarians earn 500+ technology certificates yearly.\nUpskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.\nGrow as we grow as a company. 76% of our managers are internal promotions.\nA diverse, inclusive, and values-driven community.\nAutonomy to choose the way you work. We trust your ideas.\nCreate our community together. Refer your friends to receive bonuses.\nActivities to support your well-being and health.\nPlenty of opportunities to donate to charities and support the environment.\n Modern office equipment. Purchased for you or available to borrow, depending on your location.","description_format":"text","description_chars":5185,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-02-16T11:06:33Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.257,"p_room":0.28,"age_days":242,"expected_fill_days":41,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/lingaro-fullstack-senior-data-scientist","json_url":"https://alion.io/job/lingaro-fullstack-senior-data-scientist.json","meta":{"generated_at":"2026-10-17T06:22:11Z","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":8566,"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":53383},"rest":"https://alion.io/mcp/rest/get_company?id=53383"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flingaro-fullstack-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%2Flingaro-fullstack-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%2Flingaro-fullstack-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/lingaro-fullstack-senior-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flingaro-fullstack-senior-data-scientist"}]}