Назад
Company hidden
2 мСсяца Π½Π°Π·Π°Π΄

Data Scientist II (Fraud Prevention)

130Β 000 - 150Β 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΄
middle
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

ВСкст:
/

TL;DR

Data Scientist II (Fraud Prevention): Leveraging algorithms and massive datasets to drive revenue and demonstrate product value through deep client analysis with an accent on data storytelling and risk management. Focus on building ML models, creating automated workflows, and communicating complex scientific insights to non-technical stakeholders.

Location: Must be based in one of the hirify.global Talent Hubs: San Francisco, NYC, Seattle, Miami, or DC

Salary: $130K - $150K

Company

hirify.global is building the identity trust infrastructure for the digital economy to verify identities in real time and stop fraud before it starts.

What you will do

  • Analyze massive customer datasets to provide actionable insights on model performance and risk management policies.
  • Communicate data stories to showcase the value of hirify.global’s solutions in eliminating identity fraud and streamlining end-user experience.
  • Partner with GTM teams (Sales, Account Managers) to identify upsell opportunities and product optimizations.
  • Develop tools and automated workflows to improve the speed, accuracy, and reproducibility of analysis.
  • Build ML models to explore alternative approaches compared to established production models.
  • Provide thought leadership to guide the development of next-generation core models and products.

Requirements

  • 3+ years of experience in data science, data analysis, or analytics engineering.
  • Degree in a quantitative field; advanced degree is preferred.
  • Proficiency in Python (2+ years) and SQL for querying relational databases.
  • Experience with cloud technologies such as AWS, Azure, Databricks, or GCP.
  • Ability to explain complex ML/AI models and analyses to non-technical audiences.
  • No sponsorship provided now or in the future.

Nice to have

  • Experience in identity verification and fraud prevention.

Culture & Benefits

  • High-responsibility environment for those who move fast, think critically, and act like owners.
  • Remote-first culture focused on precision and solving complex customer problems.
  • Generous incentive bonus opportunity tied to driving new business.
  • Collaborative atmosphere with a high bar for excellence.

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†’