{"id":322682,"url":"https://alion.io/job/trojai-senior-data-scientist","title":"Senior Data Scientist","company":{"id":63231,"name":"TrojAI","domain":"troj.ai","url":"https://alion.io/company/trojai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fredericton, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":116000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":90},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"LLM","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Red Teaming","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"ONNX","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Spark","optional":true},{"name":"TorchServe","optional":true},{"name":"Triton","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-07-22T00:00:00Z","employer_posted_date":"2026-07-22","last_verified_at":"2026-10-26T12:29:11Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"About the role\nAs a Senior Data Scientist you’ll be a key member guiding the productization of AI security protections for discriminative and generative AI models. This is a hands-on technical role that combines individual contribution with team mentorship, engaging closely with engineering and product teams in the AI security space.\nResponsibilities\nLead the data science team, fostering innovation and excellence in AI security engineering\nTranslate business needs into short-, medium-, and long-term roadmaps\nDevelop technical assets and IP for automated pentesting and real-time monitoring of AI technologies\nEngage with product owners to influence direction and coverage across security frameworks (NIST AI RMF, OWASP, MITRE ATLAS)\nTrack and analyze emerging threats to AI systems\nDevelop and implement detection and mitigation strategies\nCollaborate with product teams to integrate and operationalize solutions\nContribute to a culture of innovation, delivery, impact, and continuous improvement\nCreate field enablement materials for technical personnel\nDevelop white papers, blogs, and presentations that drive customer adoption\nRepresent data science as a thought leader at industry events\nRequirements\n7+ years as a Data Scientist or ML Solutions Architect, preferably with an AI/ML security focus\n5+ years of Python proficiency for analysis, training, evaluation, deployment, and optimization\n 1+ year of experience with LLM technologies (architectures, responsible GenAI, evaluation, customization)\nDeep understanding of AI/ML models, including their vulnerabilities and limitations\nExperience with AI/ML security risks: data poisoning, privacy attacks, adversarial inputs, and DoS attacks\nStrong programming in Python or Golang and ML frameworks such as TensorFlow and PyTorch\nHands-on experience with AI security best practices, vulnerability assessments, and red teaming\nExcellent written and verbal communication with strong analytical skills\nNice to have\nExperience with open-source LLM frameworks like LangChain and LlamaIndex\nKnowledge of prompt engineering and state-of-the-art model architectures\nFamiliarity with AWS, Azure, and Google Cloud services\nKnowledge of deployment technologies (TorchServe, ONNX, Triton, vLLM) and orchestration\nExperience with big data technologies (Hadoop, Spark, MongoDB)\nTrack record of thought leadership, innovation, and patenting\nProof-of-concept exploit development for new or theoretical attacks\nExperience scaling products at hyper-growth startups\nGraduate degree in a quantitative field (statistics, mathematics, data science, engineering, computer science)\nTrojAI is an Equal Opportunity Employer. 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