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2 дня назад

Associate Data Scientist (AI)

124 650 - 207 500$
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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TL;DR

Associate Data Scientist (AI): Analyzing data and expanding algorithmic product features using frontier LLMs and agentic tools with an accent on data filtration and model training. Focus on building evaluation frameworks for AI agents and developing high-quality data products to improve brand visibility.

Location: Washington, D.C.

Salary: $124,650 - $207,500 USD

Company

hirify.global is a leading brand visibility platform that leverages AI search and a massive database of trusted data points to help brands manage their digital presence across multiple channels.

What you will do

  • Perform data analysis, filtration, and quality assurance to develop high-quality Data Products for internal and external stakeholders.
  • Create context windows, tooling, instructions, and evaluation frameworks for agentic tools to assess their performance.
  • Collaborate with Engineering and Product teams to advance the development of sophisticated algorithmic product features.
  • Communicate and present analytical results clearly through verbal, written, and graphical formats.
  • Propose innovative ideas and solutions to problems identified during project execution.

Requirements

  • Programming experience in Python.
  • Data analysis experience using SQL.
  • Experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity.
  • Familiarity with version control systems like GitHub and working in a Console environment.
  • Ability to be self-directed and dive into unfamiliar problem domains under conditions of uncertainty.
  • Proficiency with the Atlassian stack, specifically Jira and Confluence.

Nice to have

  • Quantitative degree in Math, Physics, Computer Science, Operations Research, Engineering, or Life Sciences.
  • Experience with AWS, Linux, and Mac environments.
  • Past experience in an analytical capacity or building data products.
  • Knowledge of statistical approaches using Python, Excel, or R.
  • Experience with machine learning and data processing packages such as Pandas, Numpy, scikit-learn, Matplotlib, or D3.js.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) retirement plan.
  • Life insurance, as well as short-term and long-term disability coverage.
  • Paid vacation and sick leave.
  • Eligibility for equity (stock) based compensation and performance-based variable pay programs.

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