{"id":3035846,"url":"https://alion.io/job/xanadu-data-scientist-experimental-physics","title":"Data Scientist - Experimental Physics","company":{"id":698,"name":"Xanadu","domain":"xanadu.ai","url":"https://alion.io/company/xanadu-ai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":100000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-21T20:23:41Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T06:08:35Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About Xanadu: Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.\nAt Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world. And that is something to be excited about!\nYour role and responsibilities:\n The successful candidate will join the cross-functional Data Analysis team to develop statistical models and measurement strategies that guide photonic component design. Working with photonics designers and experimentalists, you will distinguish measurement uncertainty from fabrication variability and translate experimental data into actionable design decisions.\nThe ideal candidate is an impact-driven data scientist capable of abstracting complex hardware problems, isolating leading-order effects from secondary issues, and translating those priorities into statistical models. Working closely with photonics designers and experimentalists, you will define the next generation of ultra-low-loss component designs and measurement procedures, directly impacting design optimizations at Xanadu's 200mm and 300mm fabrication partners.\nYou will:\nDevelop statistical models to infer the characteristics of photonic devices from experimental datasets.\nPartner with photonics designers to develop measurement methods and test structures that distinguish competing explanations, reveal systematic errors, and improve parameter-estimation precision.\nInvestigate reported uncertainties by finding and quantifying unknown systematics, building models to account for them, and devising methods to reduce errors.\nBuild and maintain robust Python-based code to analyze measured data.\nBasic qualifications and experience:\n\nMSc or PhD in physics, statistics, applied mathematics, engineering, or a related quantitative discipline.\nAt least two years of experience analyzing experimental or observational data to answer scientific or engineering questions (relevant graduate research counts toward this experience).\nDemonstrated ability to formulate statistical models connecting physical processes and measurement systems to observed data, identify dominant effects, and evaluate model assumptions.\nStrong applied knowledge of parameter estimation and uncertainty quantification, including identifying and modeling systematic effects, accounting for correlated errors, and propagating uncertainties into derived quantities.\nExperience solving inverse problems and assessing the reliability of inferred parameters through model diagnostics, sensitivity analysis, and validation against simulations or independent measurements.\nExperience designing or improving experiments, measurement procedures, or validation studies to distinguish competing explanations and reduce uncertainty.\nProficiency in Python for scientific computing and data analysis, with experience developing reproducible, maintainable analysis code using version control, documentation, and appropriate tests.\nAbility to work with scientists and engineers across disciplines, translate open-ended hardware questions into tractable analyses, and communicate conclusions, limitations, and recommended next steps. Ability to prioritize work according to its expected impact on research and engineering decisions.\nPreferred qualifications and experience:\n\nExperience with hierarchical or multilevel models to distinguish sources of variation, such as measurement repeatability, device-to-device differences, and fabrication variability.\nExperience with Bayesian inference and computational methods such as Markov chain Monte Carlo, including assessing convergence and validating inference results.\nExperience with precision measurements, calibration, or metrology, including diagnosing systematic effects and using knowledge of the measurement apparatus to improve analysis.\nFamiliarity with photonic integrated circuits, optical component characterization, semiconductor fabrication, or quantum optics.\nExperience turning research analyses into reusable software or automated workflows used by other scientists and engineers.\nThis is for a new position. Your base salary will be determined based on your location, experience, and internal benchmarks. The base salary range is 100,000 - 140,000 CAD. You will also be eligible for equity and benefits.\nOur values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.\nWe are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at .\nPlease be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","description_format":"text","description_chars":5575,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Quantum Computing Hardware"],"lifecycle":[{"event":"open","at":"2026-10-21T21:21:33Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.893,"p_room":1,"age_days":7,"expected_fill_days":26,"reasons":["conf:3","velocity","win:early","comp:junior"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/xanadu-data-scientist-experimental-physics","json_url":"https://alion.io/job/xanadu-data-scientist-experimental-physics.json","meta":{"generated_at":"2026-10-29T09:52:42Z","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":14968,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":698},"rest":"https://alion.io/mcp/rest/get_company?id=698"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fxanadu-data-scientist-experimental-physics"},{"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%2Fxanadu-data-scientist-experimental-physics"},{"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%2Fxanadu-data-scientist-experimental-physics"},{"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/xanadu-data-scientist-experimental-physics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fxanadu-data-scientist-experimental-physics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3035846}},{"tool":"search_jobs","arguments":{"company":"xanadu.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3035846},"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. 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