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11 часов назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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 Scientist (AI): Developing and deploying predictive models, machine learning, and AI solutions for risk, fraud, marketing, and portfolio management in financial services with an accent on end-to-end model lifecycles, NLP, experimentation, and MLOps. Focus on building production-ready models, preparing complex datasets, translating ambiguous business problems into analytical frameworks, and converting results into actionable product recommendations.

Location: Atlanta, Georgia, United States

Company

hirify.global provides technology and financial services solutions, with a focus on shaping the future of fintech.

What you will do

  • Design, develop, validate, deploy, and monitor advanced analytics, machine learning, and AI solutions for measurable business outcomes.
  • Prepare and assemble datasets from standard and novel sources for end-to-end analytical solutions.
  • Apply predictive analytics, NLP, Generative AI, and Agentic AI to problems across payments and financial services.
  • Design experiments, hypothesis-testing frameworks, and statistical analyses for business and product decisions.
  • Establish best practices for data science, feature engineering, model governance, experimentation, and MLOps.
  • Translate analytical results into actionable product recommendations for internal and external stakeholders.

Requirements

  • Master’s degree or higher in mathematics, computer science, engineering, operations research, statistics, or a related quantitative discipline.
  • 1–3 years of experience developing and deploying end-to-end machine learning, predictive analytics, and data science solutions.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with data wrangling, feature engineering, model development, and production or near-production deployment.
  • Experience with data visualization and business intelligence tools such as Tableau or equivalent.
  • Strong analytical, problem-solving, and cross-functional collaboration skills.

Nice to have

  • Experience with Spark, PySpark, Databricks, MLflow, Model Registry, and MLOps workflows.
  • Experience deploying cloud-native machine learning solutions in AWS environments.
  • Familiarity with Transformer Models, Agentic AI, model governance, and regulatory compliance in financial services.

Culture & Benefits

  • Collaborative, open, entrepreneurial, and inclusive work environment.
  • Ongoing learning and development opportunities.
  • Opportunities to contribute to the community.
  • Competitive salary and benefits.
  • US-based positions may require a drug test after a conditional offer.

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