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23 часа назад

Data Science Lead (Fintech)

179 000 - 200 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Science Lead (Fintech/Cybersecurity): Designing scalable data architectures and leading R&D for novel data sources to enhance identity tokenization and authentication systems with an accent on data engineering, MLOps, and analytical rigor. Focus on bridging the gap between research and production, developing a data source playbook, and creating a long-term architectural roadmap for corporate scaling.

Location: Must be based in the United States (US Remote). This role is not eligible for work authorization sponsorship.

Salary: $179,000 - $200,000 plus variable commission / company bonus.

Company

hirify.global is a digital identity platform providing phone-centric tokenization and passive cryptographic authentication solutions to reduce fraud and friction for over 1,000 enterprise customers.

What you will do

  • Design and oversee the evolution of scalable data architectures supporting advanced analytics, ML modeling, and real-time processing.
  • Lead R&D by scouting and evaluating new internal and external data sources, including synthetic data and IoT streams, for commercial viability.
  • Establish gold-standard methodologies for statistical analysis, experimental design (A/B testing), and ML modeling.
  • Act as the bridge between R&D and Production to ensure complex models and data sources are seamlessly ingested into core products.
  • Develop key deliverables including a Data Source Playbook, Methodology Registry, and a 3-year architectural roadmap.
  • Oversee data delivery contracts and the design of clean, well-documented APIs between the DS ecosystem and downstream applications.

Requirements

  • 6+ years of experience in Data Science or Data Engineering.
  • At least 2 years in a technical leadership or architectural role.
  • Proficiency in Python, R, SQL, Cloud Platforms (AWS/GCP/Azure), Big Data tech (Spark, Kafka), and Orchestration (Airflow).
  • Deep expertise in MLOps deployment patterns, schema design (SQL/NoSQL), and statistical evaluation.
  • Valid US work authorization is required; no sponsorship is available.

Culture & Benefits

  • Competitive salary, bonus plan, and equity plan.
  • Unlimited vacation and flexible working hours.
  • Comprehensive medical benefits for employees and their families.
  • 401(k) retirement plan with company match for US offices.
  • Focus on wellness through Modern Health services and well-being reimbursements.

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