обновлено 21 час назад
Data Scientist II (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist II (AI): Developing and optimizing multimodal conversational AI systems for the Rufus shopping assistant with an accent on machine learning, NLP, and statistical modeling. Focus on designing experiments, analyzing large-scale datasets, and deploying production-ready models to enhance customer shopping experiences.
Location: London, UK (Onsite)
Company
A global leader in e-commerce and cloud computing, driving innovation in AI-driven shopping experiences.
What you will do
- Perform hands-on analysis and modeling of large-scale multimodal datasets to derive actionable insights.
- Develop scalable solutions for measuring and optimizing shopping assistant systems using ML and statistical techniques.
- Design and analyze A/B tests to evaluate new features and model improvements.
- Build predictive models and conduct deep-dive analyses to improve customer conversion and satisfaction.
- Collaborate with scientists and engineers to translate analytical insights into production systems.
- Establish automated processes for data analysis, ETL pipelines, and experimentation frameworks.
Requirements
- Master's degree or higher in Math, Statistics, Computer Science, or a related field.
- Experience in a ML or data scientist role within a large technology company.
- Proficiency in data scripting languages such as Python, SQL, or R.
- Strong background in machine learning, statistical modeling, and data analysis techniques.
- Excellent written and verbal communication skills for technical and non-technical audiences.
Nice to have
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.
- Experience in defining and creating benchmarks for assessing GenAI model performance.
- Experience working on multi-team, cross-disciplinary projects.
Culture & Benefits
- Inclusive and diverse work environment.
- Opportunity to work on large-scale, high-impact AI projects.
- Collaboration with a large, multidisciplinary team of scientists and engineers.
- Commitment to employee privacy and data security.
- Support for workplace accommodations and adjustments.
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