Вакансии

• Improve the service using data
• Validate product hypotheses through experiments
• Evaluate effectiveness of advertising campaigns
• Ad-hoc analytics for new markets
• Create analytical reports and data pipelines in the future

• 1+ year of full-time experience in analytics
• Fluent English
• SQL knowledge

• Python
• BI systems

info@doq.kz

• Участвовать в создании системы прогнозирования закупок
• Оценивать эффективность ценовой политики
• Оценивать эффективность ассортимента
• Улучшать показатели запасов на складе
• Создавать BI отчетность

• Опыт работы в любой аналитике от 1.5 лет
• Опыт работы в ритейле, e-commerce
• Знание SQL

• Навыки построения отчетов в BI системах

s.kenzhekhanov@arbuz.kz

• Проверять и генерировать гипотезы по улучшению продукта
• Проводить и интерпретировать А/Б тесты
• Находить слабые места в клиентском пути и приложении/сайте
• Предлагать улучшения и оценивать эффективность нововведений

• Опыт работы в любой аналитике от 1.5 лет
• Опыт работы в продуктовой компании/команде
• Опыт проведения А/Б тестов
• Знание SQL

• опыт построения отчетов в BI системах

s.kenzhekhanov@arbuz.kz

• Разработка и поддержка ETL/ELT процессов
• Разработка и поддержка витрин данных
• Оптимизация SQL запросов и хранимых процедур
• Оптимизация структуры и процессов обработки данных
• Обеспечение доступности и качества данных
• Мониторинг и поддержка инфраструктуры данных

• опыт работы не менее 2 лет
• опыт оптимизации больших запросов и баз данных
• MS SQL Serve, Oracle, PostgreSQL
• Git

• Python
• Apache Airflow
• Spark, Pyspark, Hive

balzhan.kalikova@kmf.kz
@balzhankalikova

• Fast and quality code writing and testing
• Building ML microservices from scratch, full development cycle
• Coordinating and planning features for current product goals
• Writing interactions between different services

• Desire to quickly learn new things and influence the product
• 2+ years of experience in NLP
• Diligence and understanding of state-of-the-art in the field
• Experience with large models (1B params+)
• Python, Bash, Docker, Git, SQL
• Experience with microservices

• Publications, Kaggle, and similar achievements
• Experience with AWS / GCP
• Experience with dialog systems

@timooxxaa

• опыт сбора требований и выстраивания архитектуры хранилища
• знание sql, шардирования, оптимизации запросов
• умение применять колоночные базы данных
• опыт построения отчетов (желательно в qlik)

@gordinmitya

• Conducting transaction data analysis for internal and external clients and stakeholders, developing deeper insights into the products using advanced and ML statistical methods
• Building predictive models using advanced ML techniques; interpret and present modeling and analytical results to non-technical audience
• Finding opportunities to create and automate repeatable analyses or build streamlined solutions for internal and external Visa clients

• Minimum of 3 to 5 years of analytical expertise in applying statistical and ML solutions to business problems
• Good command of English (Upper-Intermediate or higher level)
• Degree (masters or PhD - an advantage) in quantitative fields
• Proficient in Python, SQL knowledge
• Strong programming skills and algorithmic background
• Practical experience in building and applying ML models and understanding of how these algorithms work, end-to-end development skills from business understanding and data preparation to quality assurance of ML models

• Experience in payments and/or consumer banking and/or commercial banking and/or FMCG retail and/or consulting
• Knowledge of C++, Java, Go - a very strong advantage

@shasadou
sshayakh@visa.com

• Proactively propose ML solutions for given business objective
• Research and develop novel AI solutions
• Develop processes and tools to monitor and analyze model performance and accuracy
• Ensure scalability and future maintenance of the designed ML models
• Measure risks associated with ML model deployment and maintenance
• Revisit the ML solutions and perform code refactoring
• Monitor execution and health of production ML models
• Interpret ML model for non-ML audience
• Report on status of development, quality, operations, and system performance to leadership

• Proficiency in ML algorithms such as multi-class classifications, decision trees, support vector machines and deep learning (PyTorch preferably)
• Strong understanding of probability and statistical models (generative and descriptive models)
• Experience working on NLP problems (named entity recognition, text generation, etc)
• Advanced Python programming skills
• Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
• Experience in developing and deploying enterprise-scale ML solutions
• Highly proficient in spoken and written English

@i_am_dana