Назад
Company hidden
6 дней назад

Director, Data Science & Analytics, Finance (Hybrid - NYC)

175 000 - 195 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Director, Data Science & Analytics, Finance (AI/Financial Systems): Leading finance transformation, analytics, forecasting, anomaly detection, and automation initiatives while improving financial data quality and decision insights with an accent on machine learning, production data products, and responsible AI. Focus on building the data science roadmap, integrating reliable solutions into financial systems, and measuring operational and financial impact for executive stakeholders.

Location: New York, NY; hybrid work

Salary: $175,000–$195,000 per year, plus bonus eligibility.

Company

hirify.global provides technology and financial services solutions.

What you will do

  • Develop a data science roadmap supporting finance priorities and business objectives.
  • Partner with finance leadership to identify opportunities, define success measures, and communicate recommendations.
  • Lead analytics, forecasting, anomaly detection, and automation initiatives across financial planning, reporting, and operational workflows.
  • Integrate financial data from enterprise platforms and deploy reliable solutions into production.
  • Establish standards for data quality, model validation, documentation, access controls, and responsible AI.
  • Coach and develop a data science team, manage cross-functional priorities, and present business impact to finance executives.

Requirements

  • 7–10 years of experience in data science, analytics, or a related quantitative field, including at least 3 years leading major cross-functional initiatives.
  • Experience partnering with finance leadership and working with financial data, reporting processes, and enterprise financial systems.
  • Strong skills in statistics, forecasting, experimentation, machine learning, Python, and SQL.
  • Experience deploying and monitoring production data products or models with attention to accuracy, auditability, and controls.
  • People leadership, executive communication, and cross-functional collaboration skills.
  • Bachelor’s degree in a quantitative, technical, finance, or related field, or equivalent practical experience.

Nice to have

  • Experience with MLOps, generative AI evaluation, and data governance in a regulated environment.
  • AWS application development experience with services including Lambda, API Gateway, S3, RDS/DynamoDB, SNS/SQS, Cognito, CloudWatch, IAM, and Secrets Manager.

Culture & Benefits

  • Collaborative, engaging, and inclusive workplace environment.
  • Comprehensive benefit offerings.
  • Bonus eligibility.
  • Paid sick leave and other legally required benefits for applicable Colorado employees.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →