aipythonsqlra b testingproduct analyticsexperimentationcausal inferencestatistical inference
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$107к-196к/год
$180к$210кмедиана$230к
По похожим ролям (47) ~ $210к/год
На СНГ рынке: $4.2к/мес ($3.2к - $4.4к)
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Роль чётко сосредоточена на продуктовых решениях и причинном анализе, с заметным влиянием на команды и развитой аналитической функцией; при этом AI-native подход предполагает быстрые изменения в работе.
Высокий темп
Современные инструменты
Чёткая роль
Сильный соцпакет
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Decision Scientist (AI) (Product Analytics/Causal Inference): Shaping product roadmaps and resource allocation through statistical inference, experimentation, and user behavior analysis with an accent on causal measurement, metrics strategy, and AI-native analytics. Focus on designing experiments, establishing causality, translating complex product data into decisions, and using AI tools to scale analytical impact.
Location: Remote within the United States
Salary: $106,500–$195,500 USD per year, plus equity and benefits.
Company
hirify.global develops a mobile family safety platform, Tile tracking devices, and Pet GPS trackers serving more than 102.4 million monthly active users across over 180 countries.
What you will do
Partner with product, engineering, marketing, and finance teams to shape roadmaps, investment decisions, and resource allocation.
Present clear analytical narratives and recommendations to leadership and cross-functional teams.
Design experiments, apply causal inference, and establish causality through A/B testing, analytics, and appropriate statistical methods.
Collaborate with engineering on event instrumentation and with product teams to turn insights into action.
Develop metrics strategies and explanations connecting user behavior, motivation, product experience, and business outcomes.
Use coding agents and automated analysis daily while helping develop an AI-native analytics stack.
Requirements
5+ years in analytics, data science, or decision science at a consumer technology company.
Advanced degree in economics, statistics, quantitative social science, operations research, or equivalent practical experience.
Applied experience with causal inference methods, including difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, or propensity score matching.
Demonstrated impact on product or business strategy through data and cross-functional influence.
Experience with experimentation platforms such as Statsig, Optimizely, or similar.
Proficiency in SQL and Python or R for statistical analysis.
Ability to structure ambiguous problems, own work from question framing through impact tracking, and critically review AI-generated outputs.
Nice to have
Familiarity with growth experimentation in networked or social contexts.
Experience building dbt models or contributing to analytics engineering workflows.
Experience with retention analytics based on product experience.
Experience with subscription or freemium business models.
Culture & Benefits
Remote-first work environment within the US, with equipment, tools, and reimbursement support.
Medical, dental, vision, life, and disability insurance fully paid for employees.
Paid parental leave, flexible PTO, company holidays, and summer and winter shutdowns.
401(k) plan with company matching, mental wellness support, and an employee assistance program.
Learning and development programs, free hirify.global Platinum Membership, and Tile trackers.
Mission-driven values focused on integrity, direct communication, member experience, and high-impact work.
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