6 дней назад
Senior AI Scientist (AI)
180 000 - 243 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Scientist (AI/Machine Learning): Building and deploying machine learning models using analytical algorithms and deep learning approaches, with an accent on data mining, NLP, personalization, and fraud prevention. Focus on preparing large datasets, engineering features, running A/B tests, and evaluating model impact through statistical analysis.
Location: Mountain View, California; New York, New York; Oakland, California; or San Diego, California
Salary: $165,500–$243,500 annual base pay, depending on location.
Company
is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Build and deploy machine learning models using analytical algorithms and deep learning.
- Analyze large datasets and apply data mining, NLP, supervised learning, and unsupervised learning to improve relevance and personalization.
- Partner with product managers, software engineers, and designers to design experiments and minimum viable products.
- Discover, import, clean, and transform data through self-directed ETL work and feature engineering.
- Run A/B tests, perform statistical analysis, and communicate optimization results to technical and non-technical stakeholders.
- Evaluate emerging technology and design shifts for potential customer benefits.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science, statistics, applied mathematics, operations research, or a related field.
- At least 1 year of industry experience in AI science and advanced analytical tools.
- Programming experience with R or Python and scikit-learn.
- Proficiency in SQL, Hive, or SparkSQL and comfort working in Linux.
- Experience with statistical modeling and data mining techniques, including clustering, classification, regression, neural networks, anomaly detection, recommender systems, and text mining.
- Strong communication skills for explaining complex technical topics to technical and non-technical audiences.
Culture & Benefits
- Collaborative work with AI scientists and machine learning engineers.
- Opportunity to develop models that affect hundreds of thousands of customers.
- Competitive compensation with performance-based cash bonuses, equity rewards, and benefits.
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