{"id":1081143,"url":"https://alion.io/job/happyrobot-data-scientist-2","title":"Data Scientist","company":{"id":6917,"name":"HappyRobot","domain":"happyrobot.ai","url":"https://alion.io/company/happyrobot","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":27,"ghost_share":0,"stale_share":0.481,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":170000,"max_usd":322000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":454},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"GDPR","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-07-14T10:14:49Z","employer_posted_date":"2026-07-14","last_verified_at":"2026-10-16T16:13:26Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":94},"description":"About HappyRobot\nHappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $200M raised, we power critical operations for global enterprises worldwide.\nOur platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision inour manifesto.\nAbout the Role\nYou’ll help make data a core part of how we build and improve HappyRobot’s products.\nYou’ll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents, and product features affect real-world performance. You’ll define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.\nYour work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows. You’ll turn complex data into clear insights that influence our product and ML roadmaps.\nWhat You’ll Do\nDefine and track product, feature, and agent-level metrics.\n\nDesign, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.\n\nMeasure how the performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates.\n\nConnect offline model evaluations with production performance and real-world customer impact.\n\nConduct deep analyses across conversations, workflows, and product usage to identify opportunities and explain differences in performance.\n\nInvestigate anomalies and regressions, perform root-cause analyses, and recommend improvements.\n\nBuild statistical models, simulations, and analytical frameworks to support product and ML decisions.\n\nPartner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.\n\nBuild dashboards and self-serve tools that help teams understand product and agent performance.\n\nCommunicate findings and recommendations clearly to technical and non-technical stakeholders.\n\nMust Have\n4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role.\n\nStrong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis.\n\nAdvanced proficiency in SQL and Python.\n\nExperience defining and operationalizing product and feature metrics.\n\nAbility to translate ambiguous product questions into rigorous analyses and actionable recommendations.\n\nStrong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact.\n\nExperience partnering closely with Product, Engineering, or Machine Learning teams.\n\nStrong written and verbal communication skills.\n\nHigh attention to detail and commitment to analytical accuracy.\n\nFounder mindset: ownership, independence, curiosity, and willingness to go deep.\n\nNice to Have\nExperience working with large language models, AI agents, generative AI, or other probabilistic ML products.\n\nExperience measuring the production impact of model, prompt, retrieval, or orchestration changes.\n\nFamiliarity with ML evaluation systems and the relationship between offline evaluations and online metrics.\n\nExperience analyzing conversational, NLP, speech, or other unstructured data.\n\nExperience with enterprise or B2B products.\n\nExperience combining quantitative analysis with qualitative methods such as conversation reviews, customer feedback, surveys, or user research.\n\nFamiliarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools.\n\nPrior experience in a fast-growing startup or other highly ambiguous environment.\n\nWhy join us?\nJoin a world-class team of engineers and builders.\n\nBacked by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo.\n\nHave ownership and autonomy of projects and are encouraged to ship.\n\nComprehensive Benefits including healthcare, dental, vision coverage.\n\nCompetitive salary + equity in a high-growth startup.\n\nOur Operating Principles\n\nExtreme Ownership\nWe take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting - if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it - we lead with accountability and expect the same from those around us.\nCraftsmanship\nPutting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call - we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build - even when nobody’s watching.\n We are “majos”\nBe friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.\nUrgency with Focus\nCreate the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon - not a sprint with no strategy.\nTalent Density and Meritocracy\nHire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density - every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players - that’s how we win.\nFirst-Principles Thinking\nStrip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.\nThe personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.\nBy sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.\nIn relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.\nIf you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through  subject to the GDPR.\nFor more information, visit https://www.happyrobot.ai/privacy-policy\nBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.","description_format":"text","description_chars":8210,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","AI Agents","Supply Chain AI"],"lifecycle":[{"event":"open","at":"2026-09-20T22:51:54Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 9","filings_12m":9,"filings_prev_12m":6,"green_card_filings_12m":0,"median_offered_wage_usd":203611,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.785,"p_room":0.44,"age_days":93,"expected_fill_days":80,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/happyrobot-data-scientist-2","json_url":"https://alion.io/job/happyrobot-data-scientist-2.json","meta":{"generated_at":"2026-10-16T16:50:34Z","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":1356,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":6917},"rest":"https://alion.io/mcp/rest/get_company?id=6917"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhappyrobot-data-scientist-2"},{"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%2Fhappyrobot-data-scientist-2"},{"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%2Fhappyrobot-data-scientist-2"},{"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/happyrobot-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhappyrobot-data-scientist-2"}]}