Position: Machine Learning engineer (with NLP expertise)
Company: Data Science UA
Category: Data Science
Experience required: 3y
English level: intermediate

Необходимые навыки
Minimum qualifications:
● Bachelor degree in Computer Science, Mathematics, numerate discipline from a leading university or equivalent practical experience.
● Commercial hands-on data science experience developing statistical, machine learning, and deep learning methods, such as search queries classification, named entity recognition and domain knowledge graphs, optimization etc.
● Strong understanding of recent exciting advances in NLP such as pre-trained language models, contextualized word embeddings, attention, and novel neural network architectures
● Confident writing production-quality code preferably in Python and SQL
● Exceptional analytical, quantitative, problem-solving, critical thinking, and communication skills
● Passion for Data Science, actively seeking out opportunities for learning and development.

Предлагаем
● Startup Engineering culture
● Good work/life integration (ﬂexible working)
● Untracked annual leave
● Stock options from day one
● Individual coaching program
● Free Trainers when you join their team
● Social activities to join in

Обязанности
Responsibilities
● Rapidly design, prototype, and experiment possible machine learning and deep learning algorithms to solve real-world problems in a highly ambiguous environment of search advertising
● Maintain and enhance existing ML and Al models including resolution of client issues related to any
model performance.
● Collaborate with Product and Engineering teams to integrate success(ul solutions into large-scale, highly
complex production systems
● Facilitate thought leadership and best practices on data science across the business to continually improve the existed approaches and values
● Effectively communicate data (Endings and helps team/business make data-driven decisions
● Take ownership and pride in the products they build and always make sure they are of highest standard
● Be empathetic towards team members and customers