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Staff NLP Data Scientist at Aspectiva

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

10 Jan, 26

Salary

0.0

Posted On

12 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

NLP, Machine Learning, Algorithm Development, Data Analysis, Deep Learning, Server Side Development, Java, C#, Problem Solving, Critical Thinking

Industry

technology;Information and Internet

Description

Description Staff NLP Data Scientist Aspectiva is Walmart's first acquisition in Israel, and has become an integrated part of the core of Walmart's e-commerce, the largest retailer in the world! We develop state-of-the-art NLP solutions that enable millions of Walmart’s shoppers to make smarter and more confident buying decisions. We’re growing and are currently looking for a Staff NLP Data Scientist to join our group, and help us through the research and development of cutting-edge algorithms while handling massive amounts of data. Responsibilities: Responsible over algorithmic features from inception to production Research new technologies and adapt them for use in the product Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithms to solve complex problems Write and implement efficient code Requirements: Not sure you fit all criteria? Submit anyway, let us decide! BSc in Computer Science, Mathematics, Engineering or a related field (MSc an advantage) Experience in NLP - Must 6+ years of hands-on experience in research and implementation of Machine Learning based solutions MSc in computer Science with a specialty in NLP - Big advantage Experience in server side development, OOP language (Java/C#) – Big advantage Experience in taking NLP features to production - advantage Experience in Deep Learning - Advantage Strong problem solving and critical thinking skills Requirements None

Responsibilities

Responsible for algorithmic features from inception to production and researching new technologies for product adaptation. Analyze large volumes of diverse data and develop algorithms to solve complex problems.