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Full Stack Data Scientist (AI)

85Β 000 - 140Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Senior Full Stack Data Scientist (AI): Owning the full lifecycle of predictive and generative models with an accent on designing and deploying production-ready data pipelines and model outputs. Focus on building innovative AI-powered tools at scale in cloud environments and ensuring system reliability while mentoring others.

Location: Remote, United States

Salary: $85,000–$140,000

Company

hirify.global is an AI for social good software company focused on increasing giving rates to 3% of US GDP by 2033.

What you will do

  • Own the full lifecycle of predictive and generative models from problem understanding to monitoring.
  • Design, test, and deliver production-ready data pipelines and model outputs using SQL, dbt, and Snowflake.
  • Build and deploy models using Python in AWS cloud environments, including Bedrock, SageMaker, and Lambda functions.
  • Collaborate closely with Product and Engineering partners on cross-functional, remote, distributed teams.
  • Continually evaluate and improve model performance in production and mentor others on best practices.

Requirements

  • 3+ years in Data Science on a Product team (Agile environment preferred).
  • Hands-on experience deploying ML models to production environments (AWS, containerized services, APIs).
  • Proven experience with SQL, Python, dbt, and Snowflake.
  • Experience with AWS Bedrock, SageMaker, or other LLM providers.
  • Familiarity with CI/CD practices, testing frameworks, and data governance.
  • Strong sense of ownership and accountability, with excellent written communication skills.
  • Cannot consider candidates who require current or future sponsorship for employment authorization.

Culture & Benefits

  • Comprehensive benefits package supporting health, well-being, and growth for full-time employees in the United States.
  • Work in an inclusive, equitable culture that values diversity and contributes to meaningful impact.
  • Opportunity to build AI-powered tools aimed at solving real human challenges and empowering communities.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’

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