{"id":1681762,"url":"https://alion.io/job/mindbridge-staff-data-scientist-canada-est-remote","title":"Staff Data Scientist (Canada, EST, Remote)","company":{"id":24944,"name":"Mindbridge","domain":"mindbridge.ai","url":"https://alion.io/company/mindbridge","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ottawa, Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":166000,"period":"year","method":"role_seniority_country_cell","sample_n":12},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-08-21T04:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-15T02:52:50Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Role overview \nWe are looking for a Staff Data Scientist to lead the development of advanced machine-learning capabilities across large-scale enterprise datasets. \nThis is a senior individual-contributor role combining hands-on modelling with technical leadership. You will work on complex problems involving structured, temporal and high-dimensional data, applying modern deep-learning and representation-learning techniques to develop reusable predictive capabilities. \nYou will partner closely with Data Science, Engineering, Product and domain experts to take ideas from research and experimentation through to production. You will also play a key role in shaping technical direction, establishing modelling and evaluation standards, and mentoring other members of the team. \nThe ideal candidate combines strong applied machine-learning experience with the ability to work effectively in ambiguous problem spaces, design rigorous experiments, and translate emerging techniques into practical product capabilities. \nWhat You Will Do \nLead the design, development and evaluation of advanced machine-learning models for large-scale structured and transactional data. \nExplore and apply modern techniques including transformers, sequence modelling, self-supervised learning and representation learning. \nDesign robust experiments, benchmarks and evaluation frameworks to compare modelling approaches and measure generalization. \nAnalyze complex datasets to identify data-quality issues, behavioural patterns, modelling opportunities and potential sources of bias or leakage. \nDevelop reusable representations and modelling approaches that can support multiple downstream use cases. \nWork closely with engineering teams to ensure models can be trained, deployed and operated reliably at scale. \nPartner with Product and domain experts to identify high-value applications and translate technical advances into customer-facing capabilities. \nSet high standards for modelling quality, reproducibility, documentation and experimentation. \nProvide technical mentorship and guidance to data scientists and machine-learning engineers. \nCommunicate technical decisions, findings and trade-offs clearly to both technical and non-technical stakeholders. \nContribute to the longer-term machine-learning strategy and technical roadmap. \nWhat You Bring \nWe are looking for candidates with substantial experience building and deploying sophisticated machine-learning systems, ideally in environments involving large-scale or complex data. \nYou should have strong practical experience in several of the following areas: \nDeep learning and modern neural-network architectures. \nTransformer architectures, attention mechanisms or sequence models. \nRepresentation learning, embeddings or self-supervised learning. \nModelling structured, tabular, temporal, transactional or event-based data. \nDeveloping and evaluating predictive or generative machine-learning models. \nDesigning controlled experiments and performing rigorous model evaluation. \nWorking with large, noisy and heterogeneous datasets. \nPython and modern machine-learning frameworks such as PyTorch. \nExperience with CUDA and RAPIDS. \nProduction machine learning, including collaboration with ML or data engineering teams. \nMentoring other data scientists or providing technical leadership across complex projects. \nExperience in financial services, accounting, payments, ERP systems or other enterprise data domains would be advantageous but is not required. \nExperience developing foundation models, recommender systems, anomaly-detection systems, time-series models or other large-scale representation-learning systems would also be valuable. \nQualifications \nPhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics or another quantitative discipline, or equivalent practical experience. \nTypically 7+ years of relevant industry experience in Data Science, Machine Learning or Applied Research, with demonstrated impact at a senior or staff level. \nStrong understanding of machine-learning fundamentals, statistics and experimental design. \nDemonstrated ability to independently lead technically complex projects from problem definition through experimentation and delivery. \nStrong programming and data-analysis skills. \nAbility to reason clearly about ambiguous problems and make pragmatic technical decisions. \nStrong written and verbal communication skills, including the ability to explain complex concepts to different audiences. \nTrack record of collaborating effectively across Data Science, Engineering, Product and business teams. \nEvidence of technical leadership through mentoring, setting standards, influencing architecture or defining modelling strategy. \nRequirements contingent on employment \nFulfill requirements necessary to obtain full background check. \nPay Range \nThe expected base salary range for this position is to $185,000 to $200,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills, experience and competencies, and unique qualifications.","description_format":"text","description_chars":5144,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Financial AI","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-10-02T09:47:13Z"}],"visa":[],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.582,"p_room":0.35,"age_days":55,"expected_fill_days":27,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/mindbridge-staff-data-scientist-canada-est-remote","json_url":"https://alion.io/job/mindbridge-staff-data-scientist-canada-est-remote.json","meta":{"generated_at":"2026-10-15T07:01:44Z","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":10578,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":24944},"rest":"https://alion.io/mcp/rest/get_company?id=24944"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmindbridge-staff-data-scientist-canada-est-remote"},{"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%2Fmindbridge-staff-data-scientist-canada-est-remote"},{"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%2Fmindbridge-staff-data-scientist-canada-est-remote"},{"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/mindbridge-staff-data-scientist-canada-est-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmindbridge-staff-data-scientist-canada-est-remote"}]}