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9 дней назад

Senior AI Scientist, Business Platform

180 000 - 243 500$
Формат работы
onsite
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
Senior AI Scientist, Business Platform (AI/Data Science): Building and deploying AI models that improve product experiences, relevance, and personalization for millions of small businesses with an accent on large-scale data analysis, NLP, and machine learning. Focus on designing experiments and MVPs, performing ETL and feature engineering, and measuring optimization impact through A/B testing and statistical analysis.

Location: Mountain View, California, United States

Base pay: $180,000–$243,500 per year

Company

hirify.global is a financial technology platform operating products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Build and deploy AI models that improve product experiences, relevance, and personalization for small businesses.
  • Analyze large datasets using data mining, NLP, supervised and unsupervised machine learning.
  • Design experiments and minimum viable products with product managers, software engineers, and designers.
  • Discover, import, clean, and transform data through hands-on ETL and feature engineering.
  • Run A/B tests, perform statistical analysis, and communicate optimization results to technical and non-technical audiences.
  • Evaluate new design and technology developments for potential customer benefits.

Requirements

  • MS or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related field.
  • At least 1 year of industry experience in AI science and modern analytical tools.
  • At least 1 year of programming experience with R or Python and scikit-learn.
  • Proficiency with SQL, Hive, or SparkSQL and comfort working in a Linux environment.
  • Experience with data mining and statistical modeling techniques, including clustering, classification, regression, neural networks, recommender systems, and text mining.
  • Strong communication skills for explaining complex technical topics to technical and non-technical audiences.

Culture & Benefits

  • Collaborative and creative environment with AI scientists and machine learning engineers.
  • Competitive compensation package with performance-based rewards.
  • Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans.
  • Regular compensation comparisons across ethnicity and gender categories to support pay equity.

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