Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Data Scientist (Fresh Graduate)

senior4,000 SGD · период не указанSingapore, SGСкор 72.5/100сегодня
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
Tracking MetricsRequirements GatheringBusiness Intelligence and Data AnalyticsExploratory Data Analysisoptimized SQL queriesDevelopmentCollaborationData PipelinePrototypeTargetingData Quality AssuranceData Mining
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Job Summary Support the development and validation of predictive analytics and machine learning models. Conduct statistical and exploratory data analysis on large datasets. Develop data pipelines and visualizations to enable data-driven decision-making across teams. Responsibilities Develop, prototype, and validate predictive analytics and machine learning models under senior data scientists' guidance to support business insights. Perform statistical analysis and exploratory data analysis on large structured and unstructured datasets to validate hypotheses and identify business opportunities. Create optimized SQL queries and Python programs to extract, clean, and feature-engineer data pipelines for advanced modeling and analysis. Translate complex model outcomes and statistical findings into clear data visualizations and self-service analytical tools to facilitate cross-functional decision-making. Design and automate data quality monitoring, alerting workflows, and metrics tracking to ensure accurate inputs for analytical models. Collaborate with product, operations, and engineering teams to define data science project requirements and standardize core performance metrics across regional markets. Required competencies and certifications Degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline. Strong foundation in statistics, probability, regression analysis, and basic machine learning concepts. Proficient in Python programming,
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs