{"id":520788,"url":"https://alion.io/job/higgsfield-data-science-product-analyst","title":"Data Science, Product Analyst","company":{"id":66037,"name":"Higgsfield","domain":"higgsfield.ai","url":"https://alion.io/company/higgsfield","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":14,"ghost_share":0,"stale_share":0.5,"repost_share":0.071,"time_to_fill_p50_days":55,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Almaty, Kazakhstan"],"countries":["KZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-07T19:22:21Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-27T21:32:01Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Why work at Higgsfield AI?\nHiggsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.\nWhat This Role Means at Higgsfield\nThis role owns how Higgsfield measures its product - from the first sign-up to whether people come back.\nYou are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing.\nYou make sure:\nEvery product decision has a number attached to it before it ships and after it ships\n\nExperiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”\n\nThe events the product emits can be trusted; you own the definition, not just the query\n\nA PM gets an answer in hours, not next sprint\n\nYou are the person who decides what “it worked” means.\nWhat You Will Do\nProduct measurement\nOwn the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.\n\nDefine each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.\n\nInstrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.\n\nWatch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.\n\nExperimentation\nDesign A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.\n\nRead them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.\n\nSeparate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.\n\nProduct & monetization analysis\nIn-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.\n\nPricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.\n\nFeature adoption and its real effect on retention and revenue - separating “users who do X retain better” from “making people do X improves retention.”\n\nBehavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.\n\nMaking it usable\nBuild the few dashboards PMs actually open on their own - decision-shaped, not comprehensive.\n\nWrite short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.\n\nAutomate recurring reporting so your hours go to new questions, not refreshes.\n\nWork in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.\n\nWho We're Looking For\nWe're looking for an analyst with opinions.\nYou should have:\nStrong SQL: window functions, cohorts, funnels and retention on raw event data, without help.\n\nPython at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.\n\nReal experimentation experience: you have designed tests, run them, and killed features with the results.\n\nStatistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.\n\nUnderstanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.\n\nThe instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.\n\nOwnership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.\n\nClear written and spoken English, B2+.\n\nBackgrounds that often do well:\nProduct analysts from consumer subscription or PLG products\n\nGrowth/BI analysts who moved into product and stayed\n\nEarly-startup analysts who built product measurement from zero\n\nData scientists who got tired of models and want decisions\n\nWhat This Role Is Not\nThis role is not a fit if you:\nWait for a ticket to tell you what to analyze\n\nWant to build models more than you want to change decisions\n\nNeed a data engineering team and clean tables to exist before you can start\n\nWould report a lift you don't believe in because a stakeholder wants it\n\nNeed perfect data before you can say anything useful\n\nWant predictable 9-5 workdays\n\nHiring Process\nWe move fast:\nScreening call (30 min)\n\nTechnical interview & case study (1 hour)\n\nPractical home task (7 days)\n\nTeam interview (60 min)\n\nPaid on-site trial (1 month)\n\nWhat We Offer\nCompetitive base salary in USD, based on your experience, skills, and the scope of the role.\n\nEquity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.\n\nRelocation support to Almaty for candidates moving from another city or country.\n\nA highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.\n\nOpportunities for professional growth, ownership, and career development as the company scales.\n\nCompany-provided equipment, meals, transportation, or other office benefits.","description_format":"text","description_chars":5695,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Generative Image","Generative Video","Generative Audio & 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