{"id":1222507,"url":"https://alion.io/job/dunia-chemical-data-scientist","title":"Chemical Data Scientist","company":{"id":2222519,"name":"Dunia","domain":"dunia.ai","url":"https://alion.io/company/dunia-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"D","score":40,"open_postings":10,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":132000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":431},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false}],"status":"live","first_seen_at":"2026-02-04T17:28:33Z","employer_posted_date":"2026-02-04","last_verified_at":"2026-09-27T10:12:08Z","board_verified":true,"closed_at":null,"days_open":235,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":234},"description":"Your mission\nTurn Dunia's experimental output into an understanding that drives better decisions Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline.\nWe run high-throughput experiments, simulations, and ML-driven optimization loops. The hardest problem is not generating data, and as our lab throughput increases, so does our data output. It is knowing what that data actually means.\nAs Chemical Data Scientist, you will sit at the center of Dunia’s discovery loop. You will be the person who spots the signal from the noise, and whether a trend is real or misleading. You will ensure that the organization, its systems and models are actually learning.\nThis role is about judgment as much as analysis. You will shape how experimental evidence flows into models, simulations, and decisions, and in doing so, how fast and how well Dunia discovers new materials.\nYour tasks will include:\nBe the scientific sense-maker\nInterrogate data from ongoing electrocatalyst campaigns\nIdentify patterns, anomalies, and failure modes that others miss\nDevelop intuition for where experiments lie, and where they tell the truth\nClose the loop between matter and models\nDecide which experimental signals should inform ML feature design\nDecide which experimental signals and discrepancies are important enough to merit computational explanation.\nGive laband automation teams concrete feedback on experimental quality and design\nMake learning compound, not fragment\nCreate clear, concise digests that align the entire team on what was learned\nTrack how understanding evolves across campaigns, not just within them\nRaise the bar for how scientific progress is communicated internally\nInfluence the system, not just the analysis\nShape data pipelines and analytical views by using them aggressively\nHelp define what “analysis-ready” data actually meansin practice\nEnsure infrastructure evolves aroundreal scientific workflows, not abstractions\nYour profile\nMaster's or PhD in chemistry, electrochemistry, materials science, or a related field\n3-6 years of experience working with experimental or computational data in a research or R&D context (post-Master's; fewer years post-PhD is fine)\nStrong Python skills and comfort with data analysis tooling (pandas, NumPy, scikit-learn, etc.)\nFamiliarity with electrochemistry or energy materials; you should have intuition for what experimental artifacts look like and which trends are chemically meaningful\nClear technical communication: you can write a summary that a lab scientist, an ML engineer, and a program manager can all use\nBonus: exposure to tools like RDKit, pymatgen, or ASE; familiarity with MongoDB or similar databases\nEnglish fluency","description_format":"text","description_chars":2806,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T12:38:24Z"}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.122,"p_room":0.28,"age_days":234,"expected_fill_days":21,"reasons":["conf:10","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dunia-chemical-data-scientist","json_url":"https://alion.io/job/dunia-chemical-data-scientist.json","meta":{"generated_at":"2026-09-28T02:55:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1788,"day_limit":5000,"remaining_today":3212,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}