{"id":1491079,"url":"https://alion.io/job/mirage-data-scientist-product","title":"Data Scientist, Product","company":{"id":6327,"name":"Mirage","domain":"mirage.app","url":"https://alion.io/company/mirage","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"R","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-09-29T20:54:53Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T18:52:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Mirage is an AI video company focused on making creation dramatically easier. Our team tackles some of the hardest creative and technical challenges in generative media.\nWe get to rethink how people collaborate with AI that can actually do creative work with them-defining entirely new interaction paradigms for AI-native video tools. We make that possible by building multimodal agents that turn creative direction into edits, rendering engines that composite multiple layers of video and graphics, and generative video models trained from the ground up that create new media when needed.\nAll of this comes together in Captions, our creative workspace for generating, editing, and designing video. The technology behind Captions is now available more broadly: Tesseract gives any AI agent native video-editing capabilities, while developers can integrate our models into their own products through APIs.\nExplore our work\nCaptions - Our flagship creative workspace \nTesseract - Our professional video engine for AI agents \nResearch - The foundation models we build in-house \nUpdates - The latest from Mirage \nTechCrunch, Forbes, Fast Company - Press\nOur Investors\nWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.\nPlease note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) \nAbout the Role\nWe’re hiring two Product Data Scientists to ground the decisions behind Captions in clear metrics, rigorous analysis, and a deep understanding of how people use the product. One person will embed with our iOS team and the other with our web team, working day to day with Product, Design, Engineering, and Data Engineering.\nYou’ll be present as questions and product ideas take shape, not brought in after launch to explain what happened. You’ll define success, evaluate experiments, investigate user behavior, and turn ambiguous findings into clear recommendations. You’ll then follow them through by communicating the reasoning, building alignment, and making sure decisions result in action.\nWe care about analytical depth, product judgment, and the ability to make a team more rigorous. We work AI-first: Codex and Claude Code are part of the everyday workflow, and you’ll be expected to validate the work they help produce.\nKey Responsibilities\nEmbed with either the iOS or web team from planning through launch, defining hypotheses, success criteria, core metrics, and measurement approaches while partnering with Engineering and Data Engineering on instrumentation and data quality.\n\nLead analysis to uncover patterns in product and user behavior, prioritize high-leverage opportunities, recommend actions, and measure realized impact.\n\nDesign and evaluate A/B tests and other product measurements, setting appropriate guardrails and turning results into decisions.\n\nCreate executive-ready visualizations, dashboards, experiment readouts, and decision memos that drive alignment on what happened and what the team should do next.\n\nBuild machine learning and statistical models to solve core user problems, improve the product experience, and deliver measurable user impact.\n\nDesign AI-native tools, systems, and automated workflows that accelerate data science and analytics while enabling self-service capabilities.\n\nRequired Qualifications\nA bachelor’s degree in a behavioral or quantitative field, or equivalent practical experience, with a strong statistical foundation.\n\n3+ years of experience in product analytics or product data science, acting as the analytics voice within a consumer product team.\n\nHigh proficiency in SQL and either Python or R, including libraries such as pandas, NumPy, SciPy, or Tidyverse, with strong data-model reasoning and the ability to write and understand analytical code.\n\nExperience applying statistical analysis, experimental design, causal inference, and machine learning to product problems, with the judgment to choose an appropriately simple method and translate the result into a specific, actionable recommendation.\n\nFluency using AI across exploration, analysis, experimentation, and modeling, including providing relevant context, debugging incorrect outputs, and converting repeatable work into reliable workflows.\n\nStrong written and verbal communication skills, including the ability to explain uncertainty and limitations, persuade technical and nontechnical partners, and lead decisions through to action.\n\nNice to Have\nExperience with iOS or web analytics, including instrumentation, release measurement, funnels, or experimentation.\n\nExperience with dbt, cloud data warehouses, and large event datasets.\n\nExperience applying product analytics to a consumer creative product.\n\nExperience building reusable AI-powered data science systems, such as agents, orchestration layers, automated analyses, or evaluation and review workflows.\n\nStrong user empathy, curiosity, and excitement about learning in a fast-moving environment.\n\nA proactive, independent working style: you pursue leads, find the people and context you need, operate through ambiguity, and follow work through from recommendation to action.\n\nBenefits:\nComprehensive medical, dental, and vision plans\n\n401K with employer match\n\nCommuter Benefits\n\nCatered lunch multiple days per week\n\nDinner stipend every night if you're working late and want a bite!\n\nGrubhub subscription\n\nHealth & Wellness Perks\n\nMultiple team offsites per year with team events every month\n\nGenerous PTO policy\n\nCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\nPlease note benefits apply to full time employees 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now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":24,"reasons":["conf:9","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":true},"html_url":"https://alion.io/job/mirage-data-scientist-product","json_url":"https://alion.io/job/mirage-data-scientist-product.json","meta":{"generated_at":"2026-10-01T20:00:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2711,"day_limit":5000,"remaining_today":2289,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}