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5 часов назад

Data Scientist (AI)

149 000 - 187 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (AI): Transforming large-scale historical data into product insights, machine learning features, and AI-powered capabilities with an accent on advanced analytics, feature engineering, LLMs, and agentic systems. Focus on designing data representations and retrieval strategies, building empirical prototypes, and integrating robust models into data-intensive products.

Location: Remote USA; candidates within a reasonable commute of a hirify.global office must work in the office at least 3 days per week.

Salary: $149,000–$187,000 per year, plus eligible short-term and long-term incentives.

Company

hirify.global is a technology company focused on finance automation and AI-powered business solutions.

What you will do

  • Analyze large-scale historical datasets to identify longitudinal trends, behavioral patterns, and transactional insights.
  • Translate complex data findings into actionable recommendations for product strategy and business decisions.
  • Guide feature engineering and data preparation strategies for robust, scalable, and interpretable machine learning models.
  • Partner with engineering teams on data pipelines, model integration, and data quality.
  • Design context vectors and data representations for LLM-driven and agentic AI systems.
  • Build prototypes, experiments, and analytical models to evaluate new business ideas and validate hypotheses.

Requirements

  • Master’s or Ph.D. in Mathematics, Computer Science, Statistics, or a related field.
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer.
  • Strong machine learning fundamentals and deep experience in feature engineering and data preparation.
  • Experience with SQL, NoSQL systems, and graph databases.
  • Experience with modern data platforms such as Snowflake, Google Cloud, BigQuery, or Vertex AI; AWS-native data and ML experience is an alternative.
  • Working experience with LLMs and agentic AI systems, including context construction, embeddings, and retrieval strategies.

Culture & Benefits

  • Kind, open, and accepting workplace culture.
  • Professional development seminars and inclusive affinity groups.
  • Short-term and long-term incentive programs for eligible employees.
  • Benefit and wellness plans.
  • Workplace combining virtual and in-person collaboration.

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