{"id":2661358,"url":"https://alion.io/job/cover-genius-staff-data-scientist-genai","title":"Staff/Senior Data Scientist - GenAI","company":{"id":174848,"name":"Cover Genius","domain":"covergenius.com","url":"https://alion.io/company/cover-genius","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Kula","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":192000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:52:48Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T03:52:05Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"The Company\nCover Genius is the global infrastructure for embedded protection. Active in over 60 countries and all 50 US States, we protect the customers of the world’s largest digital companies, including Klarna, Revolut, Stripe, Priceline, Agoda, Booking.com, Turkish Airlines, Tongcheng Travel, eBay, and Uber, with seamless, end-to-end experiences. Cover Genius has protected more than 73M customers globally across 240M policies with USD $3.2BN in gross written sales.\nComing off a stellar year with 40% YoY revenue growth and a recent $100M capital raise, putting our valuation at $1.9BN, we are accelerating into our next phase of growth. As part of our team, you’ll help drive our AI-first roadmap, developing hyper-personalization engines, agentic distribution, and automated claims infrastructure, while building the scalable technology powering the fast-growing $70B embedded protection market.\nOur people are: Accountable, customer-obsessed, collaborative, driven\nOur people are not: Passive, defensive, siloed, hesitant\nAbout the Role:\nAs a Staff Data Scientist for Generative AI on our Customer Ops Team, you will own the design and delivery of agentic AI systems that take on complex, judgement-heavy work across the business, from automated claims decisions to customer operations and partner-facing/customer-facing products. You will go where the highest-impact problem is, take it from idea to production, and leave behind systems and teams that can keep improving without you.\nTo drive success in this role, you will have deep hands-on experience taking LLM-based and agentic systems from prototype to production, a rigorous approach to evaluation, and the credibility to shape engineering decisions without formal authority. As the Staff Data Scientist, you will set the architecture and evaluation strategy for our agentic systems, build and ship core components yourself, and raise the AI engineering capability of the teams you work with. Regular collaboration with Engineering, Product, Operations, Compliance, Analytics team will be key in ensuring that the systems we build are accurate, auditable and safe to scale.\nNOTE: We are actively considering candidates at both Senior and Staff levels for this role. Final leveling and compensation will be determined based on overall experience and interview performance, so we encourage you to apply regardless of which title best fits you today!\nKey Responsibilities:\nOwn the design of agentic AI systems. Decide where models add value and where deterministic code should do the work, define agent boundaries, tools and contracts, and design the controls that determine when a system may act on its own.\n\nBuild the evaluation foundation. Create ground-truth datasets, labelling rubrics with measured inter-rater agreement, and eval harnesses that gate every prompt and model change, measuring both component-level and end-to-end performance against a defined production bar.\n\nShip production systems hands-on. Build prompts, agents, tool integrations, evaluation pipelines and LLM-as-judge scorers, and lead the error analysis that turns failures into specific, prioritised fixes.\n\nLead engineers through influence. Run design reviews, pair on implementation, and establish the patterns teams use to build, test and release AI components, so engineers can independently ship eval-gated changes.\n\nRaise AI capability across the organisation. Turn each engagement into reusable guidance, templates, shared tooling and hands-on sessions that other engineering and product teams can adopt.\n\nOwn the outcomes, not just the models. Define and track the metrics that matter for each system, such as automation rate, decision accuracy, unsafe-action rate and cost per task, and report to leadership with a clear account of what is moving them and why.\n\nShape where we invest next. Assess new opportunities for agentic AI across the business, recommend what to build, what to buy and what not to automate, and run fast, falsifiable proofs of concept to decide.\n\nWhat you will bring:\n8+ years in data science or machine learning, including at least 2 to 3 years building and shipping LLM-based or agentic systems into production, where you owned the outcome after launch and not only the prototype.\n\nDeep expertise in LLM evaluation: ground-truth dataset and rubric design, LLM-as-judge methods and how to validate them, statistical reasoning with small samples, and error analysis of multi-step or multi-agent systems.\n\nStrong Python engineering, with practical experience of agent and tool-use patterns (e.g. MCP, function calling), workflow orchestration (e.g. Temporal or similar), and a major cloud AI platform (e.g. AWS Bedrock).\n\nA track record of influencing technical direction beyond your own team: shaping architecture, influencing engineering standards, and mentoring engineers who were new to AI/ML.\n\nBachelor's degree in a relevant field. A postgraduate degree and/or record of academic achievement is also desirable.\n\nProficiencies and Attributes:\nLeadership without authority. You bring data scientists and engineers along by making them better, through clear reasoning, pairing and patient explanation rather than title.\n\nJudgement about when not to use AI. You are as comfortable arguing that a component should be plain code as you are designing an agent.\n\nRange and fast ramp-up. You can walk into an unfamiliar domain, learn how the work is really done from the people who do it, and turn that into a system design quickly.\n\nClarity with non-technical audiences. You can explain to an operator, a compliance lead or an executive what a system does, how confident we should be in it, and why.\n\nAccountable and delivery-focused. You ship, measure and iterate, own outcomes end to end, and treat a well-evidenced no-go as a valuable result.\n\nWhy Cover Genius?\nAt Cover Genius, we create magic by turning the archaic into the extraordinary. We take one of the world’s oldest and most complex industries and reinvent it with world-class technology. Cover Genius doesn’t just disrupt legacy insurance; we make the impossible feel effortless. Our operating principles guide our mission:\nMake today matter: We deliver with urgency and excellence. We act decisively, move with intention, and hold a high bar.\n\nAct with accountability: We own our commitments and take pride in delivering results that move us forward.\n\nGrow together: We are a collective of curious minds. We learn from wins and setbacks, share knowledge generously, and elevate each other every day.\n\nInspire Each Other: We push each other to think bigger and pull together to go further.\n\nChampion Our Customers: We lead with empathy and center the customer, turning complex disruptions into seamless moments of trust.\n\nFlexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.\n\nDon't just take our word for it - hear about our culture straight from our people here: story time.\n\nReady to make an impact? If you’re looking for a place where you’ll be challenged, trusted, and empowered, we’d love to meet you.\nThe Legal & Privacy Stuff\nCover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.\nBy submitting your application, you acknowledge that we may collect, store, and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.\n*This position offers a base salary range of C$135,000 to C$220,000 annually.","description_format":"text","description_chars":8082,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["InsurTech"],"lifecycle":[{"event":"open","at":"2026-10-16T00:52:48Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.718,"p_room":0.35,"age_days":11,"expected_fill_days":5,"reasons":["conf:2","velocity","win:tail"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/cover-genius-staff-data-scientist-genai","json_url":"https://alion.io/job/cover-genius-staff-data-scientist-genai.json","meta":{"generated_at":"2026-10-26T07:55:07Z","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":10450,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":174848},"rest":"https://alion.io/mcp/rest/get_company?id=174848"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcover-genius-staff-data-scientist-genai"},{"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%2Fcover-genius-staff-data-scientist-genai"},{"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%2Fcover-genius-staff-data-scientist-genai"},{"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/cover-genius-staff-data-scientist-genai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcover-genius-staff-data-scientist-genai"}]}