other

Middle Data Scientist (general+NLP)

Более недели назад

З/П не указана

Город: Санкт-Петербург

WaveAccess

Тип занятости: Удаленная работа

Требуемый опыт: Опыт от 3 лет

Обязанности:

WaveAccess is looking for a Data Scientist to join our team and work on diverse projects for international clients. You can solve real-world business problems using various data science techniques, modern technology stacks, and advanced methodologies. Responsibilities: Work with multiple data sources: collect, clean, analyze, and interpret data to provide valuable insights Formulate and defend hypotheses to address complex business challenges Select, train, and validate machine learning models tailored to client needs Develop and implement data-driven solutions using various tools and frameworks Collaborate closely with cross-functional teams to understand client requirements and deliver impactful results Requirements: At least 3 years of commercial development experience English - B2 or higher (Intermediate+) Proficiency in Python and related data science libraries and frameworks Deep knowledge of classic machine-learning approaches and algorithms Experience in either recommendation systems, timeseries or NLP domains Experience in presenting achieved results Technical Skills: Python Standard ML stack One of the domain-specific tec-stacks Basic SQL Git Preferred Experience: Working knowledge of machine learning frameworks such as TensorFlow or PyTorch Experience using data visualization tools to communicate insights effectively Familiarity with deployment and version control tools like Docker and Git Experience working in Agile development environments LLM/RAG What We Offer: Work in a dynamic international team Employment according to labor law, 100% payment for sick leave and vacation Opportunity for cooperation through individual entrepreneurship/self-employment Participation in foreign and Russian projects Health insurance with dental coverage Necessary equipment for work Corporate training programs Broad opportunities for self-realization, professional and career growth Democratic approach to processes and flexible start of the workday.

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