обновлено 7 часов назад
Data Scientist (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Python/ML): Building production machine learning models that determine how AI agents contact debtors and optimize recovery outcomes with an accent on propensity and uplift modeling, experimentation, and causal inference. Focus on turning models into live contact decisions, measuring business impact through A/B tests and bandits, and operating within legal guardrails.
Location: Dubai, hybrid — 3 days per week in the office and 2 days remote
Company
AI platform building voice and multichannel agents for banks to optimize debt recovery while maintaining compliant and respectful communication.
What you will do
- Own the contact strategy across voice, WhatsApp, email, SMS, and other channels within legal guardrails.
- Build propensity and uplift models predicting debtor responses to contact timing, scripts, voices, and offers.
- Turn models into live segments and decisions executed by AI agents.
- Design, run, and interpret A/B tests and bandit experiments on timing, cadence, voice, and negotiation policies.
- Collaborate with product, engineering, and commercial teams to improve recovery and other business metrics.
Requirements
- Degree in mathematics, statistics, machine learning, computer science, or a related field.
- At least 2 years of experience shipping production machine learning models that improved business metrics.
- Expert Python skills and experience taking models from development to production and monitoring them.
- Strong probability, statistics, experimental design, and causal inference skills.
- Experience designing, running, and interpreting A/B tests or bandit experiments on live traffic.
- Ability to explain and defend model-driven business decisions to stakeholders.
Nice to have
- Experience with ranking, pricing, or contact-strategy models.
- Experience with TypeScript, AWS, and PostgreSQL.
- Background in collections or fintech is not required.
Culture & Benefits
- Salary at the top of the benchmark.
- Fair equity with significant upside potential.
- High ownership, autonomy, and direct access to the founding team.
- Small team with the opportunity to influence strategy and business outcomes.
- Hybrid and flexible work arrangement.
Hiring process
- Introductory interview with a future teammate.
- Technical deep-dive interview with the hiring manager and potentially another team member.
- Technical assessment or business case, followed by a conversation with the founders.
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