9 дней назад
Senior AI Scientist, Business Platform
180 000 - 243 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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