{"id":3840,"url":"https://alion.io/job/qed-ai-data-scientist-warsaw","title":"Data Scientist – Warsaw","company":{"id":1618,"name":"QED.ai","domain":"qed.ai","url":"https://alion.io/company/qed-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":23,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":234,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":107000,"period":"year","method":"role_country_seniority_unknown","sample_n":367},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-02-18T07:42:23Z","employer_posted_date":"2026-02-18","last_verified_at":"2026-10-21T05:26:57Z","board_verified":true,"closed_at":null,"days_open":245,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":244},"description":"QED (https://qed.ai) is a tech company focused on public health andfood security in Sub-Saharan Africa. We build the digital infrastructure and AI used at the intersection of aid and scientific inquiry, including in-situ nutrient analysis of crops and soils and foods, and surveillance of HIV and malaria at national-scale in multiple African countries. Our funding comes from philanthropic and governmental organizations, such as the Gates Foundation, the Polish Ministry of Agriculture, EU funding programmes, the Global Fund, and others.\nWe are looking for a Data Scientist to join our team in Warsaw, Poland working on ScanSpectrum (https://scanspectrum.qed.ai), a low-cost and handheld spectrophotometry kit being used to assess quality parameters of food and agricultural products.\nScope of Work\nBuild and improve regression models for spectroscopic data (e.g., PLSR, SVR, Extra Trees)\n\nPlan sampling strategies and real-world experimental design with a strong statistical mindset (representativeness, power, coverage across varieties/regions/seasons/batches).\n\nDesign robust training/evaluation pipelines: preprocessing, feature engineering, hyperparameter tuning, and proper cross-validation.\n\nApply chemometrics best practices to spectral data (baseline/scatter effects, derivatives, outliers, drift).\n\nDiagnose model failures and data issues (instrument effects, label noise, dataset shift) and propose fixes.\n\nConstruct dashboards/reports to present and visualize data analytics.\n\nCollaborate with engineering/product to package and deploy models (model export, versioning, monitoring metrics).\n\nAssist in effective communication with scientific institutes, companies, or researchers that QED currently collaborates with or wishes to collaborate with.\n\nCollaborate with governmental, medical, agronomic, and computer science teams in the composition of research papers and impact reports.\n\nRequirements\nTechnical\nProficiency with core ideas in statistics.\n\nFormal academic studies in statistics, data science, or software engineering, coupled with some practical experience with analyzing real-world datasets.\n\nAbility to use computer programming to wrangle, inspect, and analyze statistical data.\n\nProficiency with git and Python-based programming environments, preferably with CI/CD.\n\nPractical proficiency in analyzing substantial real-world datasets with\ntraditional statistical techniques, such as regression, hypothesis testing, survey design, time series, and RCTs, and also\n\nwith modern machine learning methods, such as decision trees, boosting and neural networks.\n\nTenacity and curiosity to acquire domain expertise as needed, enabling rigorous contextualization of statistical challenges within established scientific frameworks (e.g., biology, chemistry, agronomy).\n\nGeneral\nWorking proficiency (≥C1) in speaking and reading English, and capable of typing English with a speed of at least ≥45 words per minute.\n\nLogical reasoning and ability to express oneself clearly, both orally and in writing.\n\nWillingness and interest in working with people from other cultures. Emotional resilience and social intelligence to communicate and work with collaborators from around the world, including Europe, Africa, Asia, and the USA.\n\nDon’t be afraid of getting your hands dirty.\n\n… and you have to care about the work that you do!\n\nBelow are additional skills that are a bonus, but are not required:\nPrior experience with spectroscopy (Vis/NIR/MIR) and chemometrics in practice.\n\nUnderstanding of spectroscopy physics (e.g., overtones/combination bands, scattering, path length effects).\n\nExperience with calibration transfer, drift monitoring, or multi-instrument datasets.\n\nDomain familiarity: food chemistry, agriculture, grain quality, soil/plant analysis, lab reference methods.\n\nDomain knowledge and/or interest in the sustainable development goals, particularly in agriculture, climate change, public health, and/or assisting developing countries.","description_format":"text","description_chars":3969,"description_truncated":false,"requirements":{"experience_years_min":null,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Medical AI","Agriculture AI"],"lifecycle":[{"event":"open","at":"2026-02-18T07:42:23Z"},{"event":"close","at":"2026-08-13T11:24:52Z"},{"event":"reopen","at":"2026-08-29T22:21:15Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.665,"p_room":0.44,"age_days":244,"expected_fill_days":234,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/qed-ai-data-scientist-warsaw","json_url":"https://alion.io/job/qed-ai-data-scientist-warsaw.json","meta":{"generated_at":"2026-10-21T08:53:06Z","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":12544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":1618},"rest":"https://alion.io/mcp/rest/get_company?id=1618"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqed-ai-data-scientist-warsaw"},{"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%2Fqed-ai-data-scientist-warsaw"},{"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%2Fqed-ai-data-scientist-warsaw"},{"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/qed-ai-data-scientist-warsaw\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqed-ai-data-scientist-warsaw"}]}