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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$185к-225к/год
$170к$200кмедиана$220к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4.2к/мес ($3.6к - $4.4к)
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Роль дает понятную ответственность за продуктовую аналитику, эксперименты и внедрение ML, а компания показывает хорошие признаки роста; в стартапе задачи могут быть широкими.
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Широкая зона ответственностиАктуальные технологииФинтех-направлениеПризнаки роста
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Product (Fintech): Building predictive models, data products, and experimentation systems for a data-driven trucking fintech platform with an accent on product analytics, machine learning, and business decision-making. Focus on leading production ML projects, designing A/B tests, solving risk and growth problems, and translating complex insights into product improvements.
Location: Palo Alto, California, United States; hybrid work with in-office collaboration and remote work
Base salary: $185,000–$225,000
Company
hirify.global is a profitable fintech platform modernizing the U.S. trucking and logistics industry through fleet fuel management solutions for owner operators and small fleets.
What you will do
Drive strategic data science initiatives and identify high-value opportunities with executive leadership.
Lead end-to-end machine learning projects from problem formulation through production deployment, including model development, validation, A/B testing, and performance monitoring.
Solve business problems involving fraud risk assessment, underwriting, and customer segmentation.
Partner with Product, Engineering, Operations, Risk, and Leadership to translate business requirements into analytical solutions and communicate insights.
Mentor junior data scientists and analysts, conduct code reviews, and establish scalable data science practices.
Lead experimentation strategy, own A/B testing frameworks, and translate results into product improvements and business impact.
Requirements
5+ years of experience in data science, analytics, or related fields.
Proficiency in SQL and Python for data manipulation, modeling, and automation.
Experience building production-ready models and pipelines.
Strong statistical knowledge and experience designing experiments, including A/B testing, cohort analysis, and causal inference.
Excellent communication skills and the ability to present complex insights clearly to technical and non-technical stakeholders.
Experience in at least one of the following domains: risk, growth/marketing, or product analytics.
Comfort working in a fast-paced startup environment where collaboration and flexibility are essential.
Culture & Benefits
Hybrid work based in Palo Alto with in-office collaboration and remote work.
Competitive base salary and equity.
Multiple health benefit options, commuter benefits, lunches, and snacks.
Responsible Time Off and 401(k) matching.
Collaborative, high-growth environment with opportunities and support for career growth.
Annual company offsite event.
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