{"id":581610,"url":"https://alion.io/job/zendesk-senior-staff-data-scientist","title":"Scientifique de données principal(e) senior / Senior Staff Data Scientist","company":{"id":369,"name":"Zendesk","domain":"zendesk.com","url":"https://alion.io/company/zendesk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":29,"ghost_share":0,"stale_share":0.621,"repost_share":0.069,"time_to_fill_p50_days":30,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Montreal, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Red Teaming","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-09T23:02:25Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-27T00:00:29Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Job Description\nÀ propos du poste\nÀ titre de scientifique de données principal(e) chez Zendesk, vous joindrez l’équipe responsable de la sécurité de l’IA. Vous serez chargé(e) de concevoir et de développer des approches d’apprentissage automatique et d’intelligence artificielle qui nous aideront à comprendre et à détecter les activités anormales ainsi que les risques liés à la sécurité de l’IA.\nDans le cadre de ce poste, vous collaborerez avec des ingénieur(e)s en sécurité, des ingénieur(e)s logiciels, des chercheurs et chercheuses en apprentissage automatique ainsi que des équipes de produits. Vous contribuerez à fournir des informations exploitables et des modèles pouvant être utilisés pour protéger les clients de Zendesk et prévenir les abus de nos produits.\nPrincipales responsabilités\nExploiter et développer notre plateforme d’évaluation de la sécurité de l’IA afin de tester les fonctionnalités d’IA de Zendesk.\nAnalyser de grands volumes de données comportementales et de données d’interaction des utilisateurs et utilisatrices afin de détecter les tendances associées aux abus, et automatiser les méthodes d’analyse.\nDévelopper des modèles et des techniques de détection viables à partir de données hors ligne, afin d’éclairer et de guider leur mise en œuvre par les équipes d’ingénierie en production.\nAméliorer la précision des systèmes existants de détection des pourriels, tout en réduisant au minimum les faux positifs.\nCollaborer avec des équipes interfonctionnelles afin de mettre en œuvre des stratégies de prévention fondées sur les informations tirées des données.\nSe tenir au courant des dernières tendances en matière de sécurité de l’IA.\nEncadrer les membres de l’équipe et assurer un leadership technique dans le cadre de projets.\nCollaborer avec les équipes de sécurité et de produits relativement aux nouveaux enjeux liés aux données, et leur fournir une expertise en science des données.\nQualifications requises\nDiplôme d’études supérieures en informatique, en statistique, en mathématiques appliquées ou dans un domaine quantitatif connexe, ou expérience pratique équivalente.\nAu moins cinq ans d’expérience dans l’application de l’apprentissage automatique ou de l’intelligence artificielle à des domaines tels que la détection des fraudes, la détection des anomalies ou la sécurité.\nSolides compétences en programmation SQL et Python, ainsi qu’une bonne maîtrise des cadres de traitement des données.\nMaîtrise de la programmation assistée par l’IA - par exemple, Claude Code et Cursor AI - et d’autres outils d’IA permettant d’accélérer les flux de travail.\nExpérience de diverses techniques statistiques, d’apprentissage automatique, d’exploration de données et d’analyse de séries chronologiques, notamment une solide compréhension des particularités des techniques de détection des anomalies et de leurs propriétés statistiques, comme la gestion des ensembles de données déséquilibrés et des données éparses.\nExpérience de l’utilisation de grands ensembles de données et d’environnements informatiques distribués, comme Spark et Snowflake.\nExcellentes aptitudes en communication et capacité à expliquer des concepts techniques complexes à des personnes qui ne sont pas spécialistes du domaine.\nQualifications souhaitées\nExpérience démontrée dans la mise en œuvre, à grande échelle, de systèmes de détection des anomalies ou d’évaluation de la sécurité de l’IA.\nExpérience avec des outils de simulation d’attaques et d’évaluation de la robustesse des systèmes d’IA (« AI Red Teaming »).\nConnaissance des concepts de cybersécurité et des vecteurs d’attaque courants.\nExpérience de la surveillance et de la maintenance de modèles d’apprentissage automatique en production, ainsi que de la compréhension de l’incidence sur les clients des mécanismes de protection et des modèles de filtrage ou de pare-feu.\nEnglish Version\nAbout the Position\nAs a Staff Data Scientist at Zendesk, you will be joining the AI Security team and be responsible for envisioning and developing machine learning and AI approaches that help us understand and identify anomalous activity and AI Security risks. The role involves collaboration with Security Engineers, Software Engineers, ML researchers, and product teams to share actionable insights and models that can be used to keep Zendesk's customers safe and prevent product abuse.\nKey Responsibilities\nRun and develop our AI Security evaluation platform to test Zendesk AI features.\nAnalyze large volumes of behavioral and user interaction data to identify patterns of abuse, and automatize methodology.\nDevelop viable detection models and techniques using offline data that can inform and guide engineering implementation in production\nImprove detection accuracy for existing spam detection projects while minimizing false positives\nCollaborate with cross-functional teams to implement prevention strategies based on data insights\nKnow the latest trends in AI Security\nMentor and provide technical leadership on projects\nCollaborate with our Security and Product teams on emerging data challenges and provide data science expertise\nRequired Qualifications\nAdvanced degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field, or equivalent practical experience\n5+ years of experience applying ML/AI in areas such as fraud detection, anomaly detection, or security\nStrong programming skills in SQL and Python, with proficiency in data processing frameworks\nFluency in AI-assisted programming (e.g., Claude Code, Cursor AI) and other AI tools to accelerate workflows.\nExperience with a variety of Statistical, ML, data mining, and time series techniques, including strong experience with the specificities of anomaly detection techniques and their statistical properties (e.g., knowing how to deal with unbalanced datasets, sparsity)\nExperience working with large datasets and distributed computing environments (e.g., Spark, Snowflake)\nStrong communication skills with ability to translate complex technical concepts to non-technical collaborators\nPreferred Qualifications\nProven track record implementing anomaly detection or AI Security evaluation systems at scale.\nExperience with AI Red Teaming tools.\nKnowledge of cybersecurity concepts and common attack vectors.\nExperience with ML model monitoring, maintenance in production, and customer impact of guardrails and firewall models. \nThe intelligent heart of customer experience\nZendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.\nZendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.\nAs part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.\nZendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.\nZendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to  with your specific accommodation request.","description_format":"text","description_chars":8317,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["CRM Software","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-09-09T23:02:25Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.517,"p_room":0.36,"age_days":46,"expected_fill_days":30,"reasons":["conf:17","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/zendesk-senior-staff-data-scientist","json_url":"https://alion.io/job/zendesk-senior-staff-data-scientist.json","meta":{"generated_at":"2026-10-27T04:46:13Z","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":4411,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":369},"rest":"https://alion.io/mcp/rest/get_company?id=369"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzendesk-senior-staff-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%2Fzendesk-senior-staff-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%2Fzendesk-senior-staff-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/zendesk-senior-staff-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzendesk-senior-staff-data-scientist"}]}